{"product_id":"slb-business-model-canvas","title":"Schlumberger Limited (SLB): Business Model Canvas [June-2026 Updated]","description":"\u003cp\u003eThis ready-made Business Model Canvas of SLB N.V. gives you a practical, research-based view of how the company creates, delivers, and captures value through AI and digital software, drilling and well services, subsea systems, and lower-carbon solutions like carbon capture and geothermal. You'll see the core partners, including NVIDIA AI, SLB Capturi, Ormat, Vår Energi, and Azule Energy, plus the key resources behind the model, such as a global energy technology portfolio, \u003cstrong\u003e$1B+\u003c\/strong\u003e in digital ARR, Tela, AI Factory, and subsurface engineering expertise. It also breaks down the main customer segments, channels, revenue streams, and cost drivers, making it a useful study aid for coursework, essays, case studies, presentations, and business analysis projects.\u003c\/p\u003e\u003ch2\u003eSLB N.V. - Canvas Business Model: Key Partnerships\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003e80%\u003c\/strong\u003e \/ \u003cstrong\u003e20%\u003c\/strong\u003e is the clearest disclosed ownership split in this chapter: SLB Capturi was formed with SLB at \u003cstrong\u003e80%\u003c\/strong\u003e and Aker Carbon Capture at \u003cstrong\u003e20%\u003c\/strong\u003e.\u003c\/p\u003e\n\n\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePartner\u003c\/td\u003e\n\u003ctd\u003eNumeric terms disclosed\u003c\/td\u003e\n\u003ctd\u003eBusiness role in the Canvas\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNVIDIA\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e2024\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eAI and digital workflow collaboration\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAker Carbon Capture\u003c\/td\u003e\n\u003ctd\u003e\n\u003cstrong\u003e80%\u003c\/strong\u003e \/ \u003cstrong\u003e20%\u003c\/strong\u003e\n\u003c\/td\u003e\n \u003ctd\u003eCarbon capture joint venture structure\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOrmat\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e2024\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eGeothermal development collaboration\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVår Energi\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e2024\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eDigital collaboration in upstream operations\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAzule Energy\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e2024\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eDigital partnership in upstream operations\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003cp\u003e\u003cstrong\u003eNVIDIA AI partnership\u003c\/strong\u003e sits in SLB's digital and subsurface technology stack. The public numeric point is the \u003cstrong\u003e2024\u003c\/strong\u003e announcement year. The partnership matters because SLB's model depends on turning data, software, and automation into recurring service revenue. In Business Model Canvas terms, this partnership strengthens key resources and key activities by adding AI capability to interpretation, drilling, and production workflows.\u003c\/p\u003e\n\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003e2024\u003c\/strong\u003e partnership year\u003c\/li\u003e\n\u003cli\u003eSupports AI-driven workflows inside oilfield services\u003c\/li\u003e\n \u003cli\u003eImproves SLB's digital differentiation versus equipment-only rivals\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003cstrong\u003eAker Carbon Capture JV: SLB Capturi\u003c\/strong\u003e is the most numerically specific partnership in this set. The joint venture ownership is \u003cstrong\u003e80%\u003c\/strong\u003e for SLB and \u003cstrong\u003e20%\u003c\/strong\u003e for Aker Carbon Capture. That split matters because it shows SLB controls the platform while still using a specialist partner for carbon capture technology and market access. For the canvas, this partnership supports value creation in industrial decarbonization and expands SLB's addressable market beyond traditional upstream services.\u003c\/p\u003e\n\n\u003cul\u003e\n\u003cli\u003eSLB ownership: \u003cstrong\u003e80%\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli\u003eAker Carbon Capture ownership: \u003cstrong\u003e20%\u003c\/strong\u003e\n\u003c\/li\u003e\n \u003cli\u003eStructure signals majority control by SLB\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003cstrong\u003eOrmat geothermal partnership\u003c\/strong\u003e is important because geothermal can extend SLB's subsurface expertise into low-carbon power. The disclosed numeric marker is the \u003cstrong\u003e2024\u003c\/strong\u003e timing. SLB's role is to apply drilling, reservoir, and well technology to geothermal projects, while Ormat brings geothermal development and power generation experience. In the canvas, this partnership supports diversification of key resources and customer segments.\u003c\/p\u003e\n\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003e2024\u003c\/strong\u003e partnership year\u003c\/li\u003e\n\u003cli\u003eConnects SLB's subsurface capability to geothermal power\u003c\/li\u003e\n \u003cli\u003eSupports non-oil and gas revenue pathways\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003cstrong\u003eVår Energi digital collaboration\u003c\/strong\u003e matters because North Sea operators need higher uptime, lower operating cost, and better field decisions. The disclosed numeric anchor is \u003cstrong\u003e2024\u003c\/strong\u003e. SLB's value comes from digital tools applied to an operating asset base rather than a one-time equipment sale. In Canvas terms, this is a partner-led route into recurring digital services and operational optimization.\u003c\/p\u003e\n\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003e2024\u003c\/strong\u003e collaboration year\u003c\/li\u003e\n \u003cli\u003eTargets digital optimization in upstream operations\u003c\/li\u003e\n \u003cli\u003eSupports recurring service and software-style economics\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003cstrong\u003eAzule Energy digital partnership\u003c\/strong\u003e fits the same logic. The disclosed numeric anchor is \u003cstrong\u003e2024\u003c\/strong\u003e. The partnership supports digital execution across exploration, development, and production workflows. For SLB, that matters because digital partnerships increase switching costs once workflows, models, and data pipelines are embedded in a customer's operating system.\u003c\/p\u003e\n\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003e2024\u003c\/strong\u003e partnership year\u003c\/li\u003e\n\u003cli\u003eFocuses on digital upstream workflows\u003c\/li\u003e\n\u003cli\u003eBuilds customer lock-in through operational integration\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePartnership\u003c\/td\u003e\n\u003ctd\u003ePublic numeric detail\u003c\/td\u003e\n\u003ctd\u003eCanvas impact\u003c\/td\u003e\n\u003ctd\u003eStrategic use\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNVIDIA\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e2024\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eKey resources, key activities\u003c\/td\u003e\n\u003ctd\u003eAI-enabled digital services\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAker Carbon Capture\u003c\/td\u003e\n\u003ctd\u003e\n\u003cstrong\u003e80%\u003c\/strong\u003e \/ \u003cstrong\u003e20%\u003c\/strong\u003e\n\u003c\/td\u003e\n \u003ctd\u003eKey partnerships, value proposition\u003c\/td\u003e\n\u003ctd\u003eCarbon capture platform control\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOrmat\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e2024\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eKey resources, customer segments\u003c\/td\u003e\n\u003ctd\u003eGeothermal expansion\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVår Energi\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e2024\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eKey activities, channels\u003c\/td\u003e\n\u003ctd\u003eDigital operations improvement\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAzule Energy\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e2024\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eKey activities, customer relationships\u003c\/td\u003e\n\u003ctd\u003eDigital upstream execution\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003cp\u003e\u003cstrong\u003e80%\u003c\/strong\u003e control in SLB Capturi, paired with \u003cstrong\u003e20%\u003c\/strong\u003e partner participation, is the key structure to note for carbon capture. The other partnerships are strategically important, but the public numeric disclosure is mainly the \u003cstrong\u003e2024\u003c\/strong\u003e timing rather than deal value.\u003c\/p\u003e\n\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003e80%\u003c\/strong\u003e majority control in SLB Capturi\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003e20%\u003c\/strong\u003e minority partner stake in SLB Capturi\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003e2024\u003c\/strong\u003e is the common public disclosure year across the remaining partnerships\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSLB N.V. - Canvas Business Model: Key Activities\u003c\/h2\u003e\n\n\u003cp\u003e\u003cstrong\u003e4\u003c\/strong\u003e core operating segments shape SLB N.V.'s activity base: Digital \u0026amp; Integration, Reservoir Performance, Well Construction, and Production Systems.\u003c\/p\u003e\n\n\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eActivity\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eBusiness function\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eCanvas link\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI and digital software development\u003c\/td\u003e\n\u003ctd\u003eSoftware, data, and workflow tools\u003c\/td\u003e\n\u003ctd\u003eValue proposition, key resources, customer relationships\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDrilling and well construction services\u003c\/td\u003e\n\u003ctd\u003ePlanning, drilling, evaluation, and completion support\u003c\/td\u003e\n \u003ctd\u003eKey activities, channels, revenue streams\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eReservoir performance optimization\u003c\/td\u003e\n\u003ctd\u003eProduction enhancement and reservoir management\u003c\/td\u003e\n \u003ctd\u003eValue proposition, customer segments\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSubsea and production systems delivery\u003c\/td\u003e\n\u003ctd\u003eEquipment, systems integration, and lifecycle support\u003c\/td\u003e\n \u003ctd\u003eKey resources, revenue streams\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCarbon capture and geothermal solutions\u003c\/td\u003e\n\u003ctd\u003eEnergy transition technologies and subsurface services\u003c\/td\u003e\n \u003ctd\u003eValue proposition, key partnerships\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003cp\u003e\u003cstrong\u003e1926\u003c\/strong\u003e is the founding year of the company, which matters because scale, installed base, and long-cycle engineering capability support these activities across multiple project phases.\u003c\/p\u003e\n\n\u003cul\u003e\n\u003cli\u003eAI and digital software development\u003c\/li\u003e\n\u003cli\u003eDrilling and well construction services\u003c\/li\u003e\n\u003cli\u003eReservoir performance optimization\u003c\/li\u003e\n\u003cli\u003eSubsea and production systems delivery\u003c\/li\u003e\n\u003cli\u003eCarbon capture and geothermal solutions\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003eAI and digital software development sits inside the Digital \u0026amp; Integration segment. This activity covers software, data management, and decision tools used to plan wells, model reservoirs, and monitor production. In business model terms, it turns technical know-how into recurring software use and higher-margin digital services. The importance is simple: software can be scaled more easily than field equipment, so it can support larger revenue per customer relationship with lower physical deployment.\u003c\/p\u003e\n\n\u003cp\u003eDrilling and well construction services cover well planning, drilling support, formation evaluation, and completion-related work. These activities are central to the Well Construction segment and are tied to project execution. The economic role is direct: customers pay for fewer drilling errors, faster well delivery, and better well quality. For academic analysis, this is the part of the model where operational efficiency, safety, and service reliability matter most.\u003c\/p\u003e\n\n\u003cp\u003eReservoir performance optimization focuses on improving output from existing assets through evaluation, stimulation, intervention, and production management. This activity links closely to Reservoir Performance. It matters because oil and gas companies often seek more production from mature fields before drilling new wells. The value here is not just volume; it is extending field life, improving recovery rates, and lowering the cost per barrel equivalent over time.\u003c\/p\u003e\n\n\u003cp\u003eSubsea and production systems delivery belongs to Production Systems. This includes engineered systems that connect wells to surface production and support long-term field operations. The activity is capital-intensive and highly technical, so delivery risk, installation quality, and lifecycle support are key. This matters in the canvas because it combines equipment sales with long-term service and maintenance relationships.\u003c\/p\u003e\n\n\u003cp\u003eCarbon capture and geothermal solutions connect the company's subsurface skills to lower-carbon applications. Carbon capture uses engineering, reservoir understanding, and transport and storage systems. Geothermal uses drilling and subsurface expertise to access heat resources. These activities matter because they diversify the company's project mix beyond conventional hydrocarbons and tie the model to energy transition demand.\u003c\/p\u003e\n\n\u003cp\u003eThe activity mix is built around technical execution and data-driven decision-making. The same subsurface skill set can support drilling, reservoir management, carbon storage, and geothermal work, which creates cross-selling potential across multiple project types.\u003c\/p\u003e\n\n\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eKey activity\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eMain output\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eWhy it matters financially\u003c\/strong\u003e\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI and digital software development\u003c\/td\u003e\n\u003ctd\u003eSoftware tools and analytics workflows\u003c\/td\u003e\n\u003ctd\u003eCan support recurring revenue and higher margins\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDrilling and well construction services\u003c\/td\u003e\n\u003ctd\u003eWells delivered to specification\u003c\/td\u003e\n\u003ctd\u003eDrives project revenue and utilization of field assets\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eReservoir performance optimization\u003c\/td\u003e\n\u003ctd\u003eHigher production efficiency\u003c\/td\u003e\n\u003ctd\u003eSupports repeat work and long-term customer retention\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSubsea and production systems delivery\u003c\/td\u003e\n\u003ctd\u003eEngineered field infrastructure\u003c\/td\u003e\n\u003ctd\u003eCreates large-ticket orders and follow-on service demand\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCarbon capture and geothermal solutions\u003c\/td\u003e\n\u003ctd\u003eTransition-related subsurface projects\u003c\/td\u003e\n\u003ctd\u003eOpens new demand pools outside conventional drilling\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003cp\u003e\u003cstrong\u003e4\u003c\/strong\u003e segment structure means these activities are not isolated; they are linked through engineering, software, and field deployment. That connection is important because one customer project can generate work in more than one segment.\u003c\/p\u003e\n\n\u003cul\u003e\n\u003cli\u003eDigital tools support drilling decisions\u003c\/li\u003e\n \u003cli\u003eReservoir work supports production optimization\u003c\/li\u003e\n \u003cli\u003eSubsea systems support long-life field development\u003c\/li\u003e\n \u003cli\u003eGeothermal and carbon storage use subsurface capabilities already built for oil and gas\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003eFor academic work, the strongest way to use this chapter is to show how the company's key activities convert technical capability into revenue across project cycles rather than relying on one product line.\u003c\/p\u003e\n\u003ch2\u003eSLB N.V. - Canvas Business Model: Key Resources\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003e$1B+\u003c\/strong\u003e in digital annual recurring revenue, \u003cstrong\u003e4\u003c\/strong\u003e operating segments, and 2 named AI tools sit at the center of SLB N.V.'s key resource base.\u003c\/p\u003e\n\n\u003cp\u003eSLB N.V. was founded in \u003cstrong\u003e1926\u003c\/strong\u003e, so its resource base combines \u003cstrong\u003e99\u003c\/strong\u003e years of operating history in 2025 with a large installed technical and commercial footprint. In Business Model Canvas terms, the company's key resources are not just physical assets; they also include software, domain data, subsurface engineering know-how, and subsea process technology. These resources matter because they support repeatable revenue from equipment, digital subscriptions, services, and integrated projects.\u003c\/p\u003e\n\n\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eKey resource\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eReal-life number or amount\u003c\/strong\u003e\u003c\/td\u003e\n \u003ctd\u003e\u003cstrong\u003eBusiness role\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating segments\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e4\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eReservoir Performance, Well Construction, Production Systems, and Digital \u0026amp; Integration\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDigital annual recurring revenue\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eOver $1B\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRecurring software and digital services revenue base\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFoundation year\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e1926\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eLong operating history and accumulated technical expertise\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNamed AI tools\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e2\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eTela and AI Factory\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003cp\u003e\u003cstrong\u003eGlobal energy technology portfolio\u003c\/strong\u003e is a resource built around \u003cstrong\u003e4\u003c\/strong\u003e operating segments. That structure gives SLB N.V. a wide technical base across the full oilfield value chain. The company's key resource here is breadth: one segment supports another, so equipment, software, and services can be bundled into larger contracts. For academic work, this is important because it shows how a diversified portfolio reduces dependence on a single product line.\u003c\/p\u003e\n\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003e4\u003c\/strong\u003e segments: Reservoir Performance, Well Construction, Production Systems, Digital \u0026amp; Integration\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003e1\u003c\/strong\u003e company-wide platform for cross-selling equipment, software, and services\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003e99\u003c\/strong\u003e years of accumulated technical development by 2025\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003cstrong\u003eDigital ARR over $1B\u003c\/strong\u003e is one of the clearest financial indicators of resource strength. ARR means annual recurring revenue, or revenue that renews each year from subscriptions and long-term digital contracts. A base above \u003cstrong\u003e$1B\u003c\/strong\u003e means SLB N.V. has a material recurring revenue stream that is less cyclical than project-only income. In Business Model Canvas terms, this is a key resource because it supports valuation, margin stability, and customer retention.\u003c\/p\u003e\n\n\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDigital resource\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eReported amount\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eWhat it signals\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDigital ARR\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eOver $1B\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRecurring contract base\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRevenue type\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eAnnual recurring\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRepeatable rather than one-off income\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBusiness effect\u003c\/td\u003e\n\u003ctd\u003e\n\u003cstrong\u003e1\u003c\/strong\u003e steadier revenue layer\u003c\/td\u003e\n \u003ctd\u003eSupports forecasting and valuation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003cp\u003e\u003cstrong\u003eAI tools: Tela and AI Factory\u003c\/strong\u003e are digital resources that strengthen SLB N.V.'s software layer. The company has \u003cstrong\u003e2\u003c\/strong\u003e named AI tools in this chapter: Tela and AI Factory. Their strategic value is tied to faster interpretation, workflow automation, and decision support in subsurface and operational work. For a student paper, these tools matter because they show how a traditional energy company can turn domain data into software-enabled output.\u003c\/p\u003e\n\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003e2\u003c\/strong\u003e named AI tools: Tela and AI Factory\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003e1\u003c\/strong\u003e digital stack that connects data, interpretation, and operational workflows\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003e$1B+\u003c\/strong\u003e digital ARR base that helps support software investment\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003cstrong\u003eSubsurface engineering expertise\u003c\/strong\u003e is a human-capital resource built from long-cycle technical work in reservoir characterization, drilling, and production. The most concrete number tied to this resource is the company's \u003cstrong\u003e1926\u003c\/strong\u003e origin, which gives it nearly a century of accumulated field experience by 2025. This resource matters because subsurface decisions are high-cost decisions: a wrong interpretation can affect drilling, completion, and production outcomes across multi-year projects.\u003c\/p\u003e\n\n\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSubsurface resource\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eNumber\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eWhy it matters\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFounding year\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e1926\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eLong technical learning curve\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating segments tied to subsurface work\u003c\/td\u003e\n \u003ctd\u003e\u003cstrong\u003e4\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eBroader application of subsurface know-how\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDigital ARR\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eOver $1B\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eData-rich subsurface workflows can be monetized repeatedly\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003cp\u003e\u003cstrong\u003eSLB Capturi and OneSubsea assets\u003c\/strong\u003e strengthen the company's industrial and subsea process capabilities. OneSubsea sits inside the production systems and subsea hardware value chain, while SLB Capturi supports carbon capture-related process capabilities. The key resource point is that SLB N.V. now holds assets that connect upstream oilfield work with subsea production and carbon management applications, which broadens the number of projects the company can serve.\u003c\/p\u003e\n\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003e2\u003c\/strong\u003e named assets in this chapter: SLB Capturi and OneSubsea\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003e1\u003c\/strong\u003e subsea-focused production systems resource base\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003e1\u003c\/strong\u003e carbon capture-related process asset base\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAsset group\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eCount\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eResource role\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSLB Capturi\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e1\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eCarbon capture-related process capability\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOneSubsea\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e1\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eSubsea production systems capability\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNamed assets in this chapter\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e2\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eIndustrial and subsea resource base\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003cp\u003eIn Business Model Canvas terms, SLB N.V.'s key resources are concentrated in \u003cstrong\u003e4\u003c\/strong\u003e segments, \u003cstrong\u003e$1B+\u003c\/strong\u003e digital ARR, \u003cstrong\u003e2\u003c\/strong\u003e AI tools, \u003cstrong\u003e1926\u003c\/strong\u003e-based technical depth, and \u003cstrong\u003e2\u003c\/strong\u003e named subsea and carbon-related assets. Those numbers show why the company can sell integrated solutions instead of isolated products.\u003c\/p\u003e\u003ch2\u003eSLB N.V. - Canvas Business Model: Value Propositions\u003c\/h2\u003e\n\n\u003cp\u003e\u003cstrong\u003e$33.1 billion\u003c\/strong\u003e in 2023 revenue shows the scale of SLB N.V.'s offer: integrated oilfield technology that combines hardware, software, and services across the well lifecycle. The value proposition is not one product; it is the ability to reduce well construction time, improve reservoir understanding, and raise production efficiency through a single operating model.\u003c\/p\u003e\n\n\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eValue proposition area\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eWhat the customer buys\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eWhy it matters financially\u003c\/strong\u003e\u003c\/td\u003e\n \u003ctd\u003e\u003cstrong\u003eReal-life number\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eIntegrated oilfield technology\u003c\/td\u003e\n\u003ctd\u003eConnected drilling, evaluation, completion, and production systems\u003c\/td\u003e\n \u003ctd\u003eFewer vendors, lower coordination cost, tighter execution control\u003c\/td\u003e\n \u003ctd\u003e\n\u003cstrong\u003e$33.1 billion\u003c\/strong\u003e revenue in 2023\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFaster, autonomous drilling\u003c\/td\u003e\n\u003ctd\u003eAutomation, drilling software, and remote operations\u003c\/td\u003e\n \u003ctd\u003eShorter rig time lowers well cost and improves capital efficiency\u003c\/td\u003e\n \u003ctd\u003eNo company-wide late-2025 figure available without guessing\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHigher recovery and better subsurface insight\u003c\/td\u003e\n \u003ctd\u003eLogging, seismic, reservoir modeling, and production optimization\u003c\/td\u003e\n \u003ctd\u003eMore accurate field decisions can raise recovery per barrel of invested capital\u003c\/td\u003e\n \u003ctd\u003eNo company-wide late-2025 figure available without guessing\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLower-carbon capture and geothermal solutions\u003c\/td\u003e\n \u003ctd\u003eCarbon capture, storage, geothermal, and emissions-reduction services\u003c\/td\u003e\n \u003ctd\u003eHelps customers meet carbon and regulatory targets while keeping existing assets in use\u003c\/td\u003e\n \u003ctd\u003eNo company-wide late-2025 figure available without guessing\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCapital-light production optimization\u003c\/td\u003e\n\u003ctd\u003eSoftware, analytics, and services that extend field life and output\u003c\/td\u003e\n \u003ctd\u003eCreates recurring revenue with lower capital intensity than manufacturing-heavy businesses\u003c\/td\u003e\n \u003ctd\u003e\n\u003cstrong\u003e$4.2 billion\u003c\/strong\u003e net income in 2023\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003cp\u003e\u003cstrong\u003eIntegrated oilfield technology\u003c\/strong\u003e is SLB N.V.'s core value proposition. Customers in upstream oil and gas do not just buy equipment; they buy coordination across exploration, drilling, completion, and production. That matters because one supplier can reduce interface risk, speed up decision-making, and improve field execution. In academic writing, this is a classic example of a platform-based industrial model, where the value comes from combining multiple technical steps into one workflow.\u003c\/p\u003e\n\n\u003cul\u003e\n\u003cli\u003eCombines hardware, software, and field services\u003c\/li\u003e\n \u003cli\u003eReduces the need to coordinate multiple vendors\u003c\/li\u003e\n \u003cli\u003eSupports standardization across basins and projects\u003c\/li\u003e\n \u003cli\u003eImproves execution control for large capital projects\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003cstrong\u003eFaster, autonomous drilling\u003c\/strong\u003e is about reducing non-productive time and increasing drilling consistency. In plain English, autonomous drilling means software and automation help guide parts of the drilling process with less manual intervention. The business value is simple: fewer hours on rig, lower well cost, and faster time to first production. For investors and researchers, this matters because drilling speed directly affects project economics, especially in high-cost offshore and deepwater work.\u003c\/p\u003e\n\n\u003cul\u003e\n\u003cli\u003eAutomation lowers reliance on repeated manual adjustments\u003c\/li\u003e\n \u003cli\u003eRemote operation can improve consistency across wells\u003c\/li\u003e\n \u003cli\u003eShorter drilling cycles improve capital turnover\u003c\/li\u003e\n \u003cli\u003eWell cost savings matter most when rig day rates are high\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003cstrong\u003eHigher recovery and better subsurface insight\u003c\/strong\u003e is one of the strongest parts of the value proposition because it influences how much oil or gas a customer can extract from a field. Subsurface insight means understanding what is below the surface: rock type, fluid location, pressure, and flow behavior. Better insight can improve drilling placement, completion design, and production strategy. In academic terms, this is a value proposition based on information advantage, where better data changes the economic outcome of the asset.\u003c\/p\u003e\n\n\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSubsurface tool category\u003c\/strong\u003e\u003c\/td\u003e\n \u003ctd\u003e\u003cstrong\u003eCustomer use\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eEconomic effect\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLogging and measurement\u003c\/td\u003e\n\u003ctd\u003eIdentify rock and fluid properties while drilling\u003c\/td\u003e\n \u003ctd\u003eLower geologic uncertainty\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSeismic imaging\u003c\/td\u003e\n\u003ctd\u003eMap subsurface structures before drilling\u003c\/td\u003e\n \u003ctd\u003eImproves well placement decisions\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eReservoir modeling\u003c\/td\u003e\n\u003ctd\u003eEstimate flow and recovery behavior\u003c\/td\u003e\n\u003ctd\u003eSupports better field development planning\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProduction analytics\u003c\/td\u003e\n\u003ctd\u003eTrack well performance over time\u003c\/td\u003e\n\u003ctd\u003eCan extend field life and raise output per dollar invested\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003cp\u003e\u003cstrong\u003eLower-carbon capture and geothermal solutions\u003c\/strong\u003e extend the business beyond traditional hydrocarbons. Carbon capture and storage helps industrial customers reduce emissions by capturing carbon dioxide before it reaches the atmosphere. Geothermal solutions matter because they use subsurface engineering skills similar to oil and gas, which lets SLB N.V. apply existing technical capabilities in a lower-carbon market. This value proposition matters strategically because it gives customers a transition path without abandoning their existing industrial base.\u003c\/p\u003e\n\n\u003cul\u003e\n\u003cli\u003eCarbon capture supports emissions reduction for industrial users\u003c\/li\u003e\n \u003cli\u003eStorage services depend on subsurface expertise, not only new equipment\u003c\/li\u003e\n \u003cli\u003eGeothermal uses drilling and reservoir skills already common in oilfield work\u003c\/li\u003e\n \u003cli\u003eThese areas broaden the addressable market beyond upstream hydrocarbons\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003cstrong\u003eCapital-light production optimization\u003c\/strong\u003e means helping customers produce more from existing assets without requiring major new field development. This is important because it usually generates returns with lower capital intensity than building new infrastructure. For SLB N.V., this includes software, analytics, field services, artificial lift, and optimization tools that improve uptime and recovery. In a business model canvas, this is a strong value proposition because it supports recurring demand and lower working capital needs than pure equipment sales.\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003e$4.2 billion\u003c\/strong\u003e of net income in 2023 is relevant here because it shows the earnings power of a model that mixes services, software, and technology rather than relying only on one-off equipment sales. If you are using this in an assignment, connect the number to the business model: higher-margin software and optimization work usually improves profit quality compared with low-margin commodity hardware.\u003c\/p\u003e\n\n\u003cul\u003e\n\u003cli\u003eHelps customers increase output from producing assets\u003c\/li\u003e\n \u003cli\u003eDelays or reduces the need for new capital spending\u003c\/li\u003e\n \u003cli\u003eCan create recurring revenue through software and services\u003c\/li\u003e\n \u003cli\u003eFits customer demand for efficiency during price volatility\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003cstrong\u003e$33.1 billion\u003c\/strong\u003e revenue in 2023 and \u003cstrong\u003e$4.2 billion\u003c\/strong\u003e net income in 2023 are the clearest public numbers that support the scale and earnings profile of SLB N.V.'s value proposition. The company's offer is strongest where customers need lower execution risk, faster drilling, better reservoir decisions, and production gains without large new capital outlays.\u003c\/p\u003e\u003ch2\u003eSLB N.V. - Canvas Business Model: Customer Relationships\u003c\/h2\u003e\n\n\u003cp\u003eSLB's customer relationships are built on long-term field service, recurring digital use, and integrated project delivery across \u003cstrong\u003e4\u003c\/strong\u003e operating divisions. The model is designed to keep SLB embedded in customer workflows for years, not just for a single transaction.\u003c\/p\u003e\n\n\u003cp\u003eSLB operates in \u003cstrong\u003emore than 100\u003c\/strong\u003e countries, which makes relationship management a global operating discipline rather than a local sales function. That scale matters because oil and gas customers usually want one technical standard, one service partner, and one delivery process across multiple basins and assets.\u003c\/p\u003e\n\n\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003eRelationship Type\u003c\/td\u003e\n\u003ctd\u003eCustomer Need\u003c\/td\u003e\n\u003ctd\u003eSLB Delivery Mechanism\u003c\/td\u003e\n\u003ctd\u003eBusiness Effect\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLong-term service contracts\u003c\/td\u003e\n\u003ctd\u003eReliable field execution over multi-year asset lives\u003c\/td\u003e\n \u003ctd\u003eRecurring equipment, service, and maintenance engagement\u003c\/td\u003e\n \u003ctd\u003eHigher switching costs and steadier revenue visibility\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEnterprise digital collaboration\u003c\/td\u003e\n\u003ctd\u003eShared subsurface and operational decision-making\u003c\/td\u003e\n \u003ctd\u003eCloud-based workflows and data exchange\u003c\/td\u003e\n\u003ctd\u003eDeeper operational dependence on SLB tools\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRecurring software subscriptions\u003c\/td\u003e\n\u003ctd\u003eContinuous access to engineering and analytics software\u003c\/td\u003e\n \u003ctd\u003eSubscription licensing and renewals\u003c\/td\u003e\n\u003ctd\u003eRepeat revenue and better margin mix\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eIntegrated project support\u003c\/td\u003e\n\u003ctd\u003eOne partner across planning, execution, and optimization\u003c\/td\u003e\n \u003ctd\u003eCross-division coordination\u003c\/td\u003e\n\u003ctd\u003eBroader wallet share and stronger account retention\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStrategic partnership-based delivery\u003c\/td\u003e\n\u003ctd\u003eRisk sharing and technology alignment\u003c\/td\u003e\n\u003ctd\u003eJoint delivery with operators and ecosystem partners\u003c\/td\u003e\n \u003ctd\u003eLonger relationship life and larger contract scope\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003cp\u003e\u003cstrong\u003eLong-term service contracts\u003c\/strong\u003e are central to SLB's customer relationships. Oilfield work is tied to wells, fields, and production systems that often run for many years, so customers value continuity, response time, and technical consistency. This relationship model reduces churn because the customer is not only buying a product; it is buying ongoing execution in the field.\u003c\/p\u003e\n\n\u003cp\u003eFor academic work, this matters because it shows how SLB competes on lifecycle support rather than one-off sales. In practice, a long-term service relationship can cover drilling, completion, intervention, production optimization, and maintenance. The customer keeps SLB close to the asset, and SLB keeps access to future work on the same asset.\u003c\/p\u003e\n\n\u003cul\u003e\n\u003cli\u003eMulti-year service visibility improves customer retention.\u003c\/li\u003e\n \u003cli\u003eField presence builds trust through repeated execution.\u003c\/li\u003e\n \u003cli\u003eTechnical performance affects renewal chances more than price alone.\u003c\/li\u003e\n \u003cli\u003eAsset-specific knowledge makes switching more difficult for the customer.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003cstrong\u003eEnterprise digital collaboration\u003c\/strong\u003e ties customers to SLB through shared data, modeling, and decision support. This relationship is stronger than a normal software sale because the platform often becomes part of the customer's workflow across teams and locations. In the oilfield, that can mean geoscience, drilling, operations, and management teams all using the same digital environment.\u003c\/p\u003e\n\n\u003cp\u003eThis relationship type matters because it increases the cost of change. Once customer teams build processes around one digital environment, the platform becomes embedded in daily decisions. That raises renewal likelihood and creates room for cross-selling into adjacent digital tools and services.\u003c\/p\u003e\n\n\u003cul\u003e\n\u003cli\u003eShared workflows make SLB part of the customer's operating process.\u003c\/li\u003e\n \u003cli\u003eData continuity increases the value of staying on the same system.\u003c\/li\u003e\n \u003cli\u003eCross-team use deepens the relationship beyond one department.\u003c\/li\u003e\n \u003cli\u003eDigital integration often supports both service revenue and software revenue.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003cstrong\u003eRecurring software subscriptions\u003c\/strong\u003e give SLB a relationship model based on renewals rather than one-time licensing. Subscription software usually supports planning, modeling, interpretation, and optimization tasks that customers use repeatedly. That makes the relationship more durable than a single consulting assignment or equipment sale.\u003c\/p\u003e\n\n\u003cp\u003eFor analysis, the important point is that subscription relationships usually improve revenue quality. Recurring contracts can provide steadier cash flow than project-only work because the customer pays for continued access, updates, and support. In a capital-intensive industry, that type of relationship helps smooth volatility.\u003c\/p\u003e\n\n\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003eSubscription Relationship Feature\u003c\/td\u003e\n\u003ctd\u003eWhy It Matters\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRenewal-based billing\u003c\/td\u003e\n\u003ctd\u003eSupports repeat revenue\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eContinuous updates\u003c\/td\u003e\n\u003ctd\u003eKeeps software relevant to changing operating conditions\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUser training and support\u003c\/td\u003e\n\u003ctd\u003eRaises adoption and lowers churn\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWorkflow integration\u003c\/td\u003e\n\u003ctd\u003eMakes replacement more difficult\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003cp\u003e\u003cstrong\u003eIntegrated project support\u003c\/strong\u003e is another core relationship pattern. SLB often serves customers across several technical stages, so the relationship is not limited to one product line. Instead, the company can support planning, execution, and optimization in one project cycle, which creates a broader and stickier customer link.\u003c\/p\u003e\n\n\u003cp\u003eThis matters strategically because integrated support increases the share of customer spend SLB can capture. A customer that uses multiple SLB teams and technologies is less likely to treat SLB as a commodity vendor. It also gives SLB more touchpoints with the customer's operations team, procurement team, and senior management.\u003c\/p\u003e\n\n\u003cul\u003e\n\u003cli\u003eOne project can involve several SLB divisions.\u003c\/li\u003e\n \u003cli\u003eCross-functional support improves customer coordination.\u003c\/li\u003e\n \u003cli\u003eBroader service scope can increase contract size.\u003c\/li\u003e\n \u003cli\u003eIntegrated delivery makes performance visible across the full project cycle.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003cstrong\u003eStrategic partnership-based delivery\u003c\/strong\u003e is important where customers want shared risk, technical depth, and long-term alignment. In these relationships, SLB is not only a supplier; it is part of a delivery chain that may include operators, joint venture partners, and other technology providers. That structure is common in complex offshore and large-scale development work.\u003c\/p\u003e\n\n\u003cp\u003eThe value of this relationship model is trust. Customers often use partnerships to reduce execution risk and access specialized expertise that would be expensive to build internally. For SLB, partnership-based delivery can lead to deeper account access, longer contract duration, and more opportunities to support future phases of development.\u003c\/p\u003e\n\n\u003cul\u003e\n\u003cli\u003ePartnerships can improve technical coordination across the project life cycle.\u003c\/li\u003e\n \u003cli\u003eShared delivery can reduce execution risk for the customer.\u003c\/li\u003e\n \u003cli\u003eJoint work can expand access to future project phases.\u003c\/li\u003e\n \u003cli\u003eRelationship depth often matters more than spot pricing.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003eSLB's customer relationships are also shaped by its \u003cstrong\u003e4\u003c\/strong\u003e divisions: Reservoir Performance, Well Construction, Production Systems, and Digital \u0026amp; Integration. That structure supports relationship continuity because the customer can work with one company across multiple technical needs instead of managing separate vendors.\u003c\/p\u003e\n\n\u003cp\u003eThis divisional structure matters for business model analysis because it increases the number of customer contact points. A single operator may use SLB for drilling, reservoir interpretation, production equipment, and digital workflows. The more functions SLB covers, the stronger the relationship becomes.\u003c\/p\u003e\n\n\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003eSLB Division\u003c\/td\u003e\n\u003ctd\u003eRelationship Role\u003c\/td\u003e\n\u003ctd\u003eCustomer Value\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eReservoir Performance\u003c\/td\u003e\n\u003ctd\u003eTechnical interpretation and field optimization\u003c\/td\u003e\n \u003ctd\u003eBetter subsurface decisions\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWell Construction\u003c\/td\u003e\n\u003ctd\u003eDrilling and completion support\u003c\/td\u003e\n\u003ctd\u003eSafer and more efficient well delivery\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProduction Systems\u003c\/td\u003e\n\u003ctd\u003eEquipment and production support\u003c\/td\u003e\n\u003ctd\u003eLonger asset operating life\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDigital \u0026amp; Integration\u003c\/td\u003e\n\u003ctd\u003eData, software, and project coordination\u003c\/td\u003e\n \u003ctd\u003eConnected workflows and repeat use\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003cp\u003eIn customer relationship terms, SLB's model depends on \u003cstrong\u003eretention, renewals, and technical dependence\u003c\/strong\u003e. That combination is stronger than a one-time sales model because the relationship can continue through multiple budget cycles, project stages, and asset life stages.\u003c\/p\u003e\u003ch2\u003eSLB N.V. - Canvas Business Model: Channels\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003eSLB N.V.\u003c\/strong\u003e reaches customers through direct enterprise sales, regional service centers, digital platforms, long-term contracts, and field deployment teams across \u003cstrong\u003e100+\u003c\/strong\u003e countries. These channels matter because SLB sells high-value technical services and equipment that need local execution, repeated interaction, and on-site support.\u003c\/p\u003e\n\n\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003eChannel\u003c\/td\u003e\n\u003ctd\u003eChannel role\u003c\/td\u003e\n\u003ctd\u003eBusiness impact\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDirect enterprise sales\u003c\/td\u003e\n\u003ctd\u003eLarge-account selling to oil and gas operators, national oil companies, and integrated energy customers\u003c\/td\u003e\n \u003ctd\u003eSupports multi-service contracts, pricing discipline, and long sales cycles\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRegional service centers\u003c\/td\u003e\n\u003ctd\u003eLocal execution, equipment support, maintenance, and rapid response\u003c\/td\u003e\n \u003ctd\u003eReduces downtime and keeps field operations close to customer sites\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDigital platforms and software\u003c\/td\u003e\n\u003ctd\u003eRemote data access, workflow software, and analytics-led delivery\u003c\/td\u003e\n \u003ctd\u003eIncreases recurring revenue potential and improves customer retention\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLong-term customer contracts\u003c\/td\u003e\n\u003ctd\u003eMulti-period service and technology agreements\u003c\/td\u003e\n \u003ctd\u003eImproves revenue visibility and supports asset planning\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eField deployment and installation teams\u003c\/td\u003e\n\u003ctd\u003eOn-site installation, commissioning, and operational support\u003c\/td\u003e\n \u003ctd\u003eTurns technical sales into delivered outcomes at the wellsite or facility\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003cp\u003e\u003cstrong\u003eDirect enterprise sales\u003c\/strong\u003e are central to SLB's channel model because the company sells to a limited number of large customers rather than to mass retail buyers. In this model, each sale usually involves technical evaluation, commercial negotiation, and coordination across multiple product lines. That matters because it raises the value of each customer relationship and makes account coverage more important than broad consumer reach.\u003c\/p\u003e\n\n\u003cp\u003eThis channel is especially relevant in SLB's \u003cstrong\u003e4\u003c\/strong\u003e core business areas: Digital \u0026amp; Integration, Reservoir Performance, Well Construction, and Production Systems. Each area can be sold separately, but enterprise sales also bundle them into larger solutions. That increases contract size and makes customer switching harder.\u003c\/p\u003e\n\n\u003cul\u003e\n\u003cli\u003eLarge operator accounts need technical sales teams, not general distributors.\u003c\/li\u003e\n \u003cli\u003eCross-selling across \u003cstrong\u003e4\u003c\/strong\u003e segments increases customer lifetime value.\u003c\/li\u003e\n \u003cli\u003eNegotiated contracts help protect margins in complex projects.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003cstrong\u003eRegional service centers\u003c\/strong\u003e support SLB's channel structure by keeping tools, parts, repair capability, and technical staff close to customer operations. This is important in oilfield services because equipment failures and project delays can quickly become expensive. Local service coverage helps SLB reduce response time and keep field assets working.\u003c\/p\u003e\n\n\u003cp\u003eBecause SLB operates in \u003cstrong\u003e100+\u003c\/strong\u003e countries, its regional model is part of the business model itself, not just a support function. Local centers make it possible to serve offshore basins, remote onshore fields, and national energy programs without moving all work through one central hub.\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eDigital platforms and software\u003c\/strong\u003e are a growing channel because they let SLB deliver value without requiring a physical visit for every activity. In practical terms, digital channels can support planning, monitoring, interpretation, and workflow execution. That matters because software and data services can be scaled across many customers after the initial development cost is paid.\u003c\/p\u003e\n\n\u003cp\u003eFor SLB, digital delivery also strengthens the rest of the channel system. It helps sales teams demonstrate value, helps service teams monitor performance, and helps customers manage assets with fewer site visits. In a capital-intensive industry, that can lower operating friction and support repeat business.\u003c\/p\u003e\n\n\u003cul\u003e\n\u003cli\u003eDigital delivery can support recurring revenue models.\u003c\/li\u003e\n \u003cli\u003eSoftware can increase customer stickiness when it is embedded in daily operations.\u003c\/li\u003e\n \u003cli\u003eRemote monitoring can reduce dependence on constant field travel.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003cstrong\u003eLong-term customer contracts\u003c\/strong\u003e are one of the most important channels in SLB's business model because they connect sales, delivery, and cash collection over time. These contracts usually cover services, equipment, software, or integrated project work across months or years. The commercial value is not only the size of the contract but also the visibility it gives to future revenue.\u003c\/p\u003e\n\n\u003cp\u003eLong-term agreements matter in academic analysis because they show how SLB reduces demand volatility. Instead of relying only on one-off transactions, the company can tie service delivery to recurring project needs. That supports planning for labor, inventory, logistics, and capital spending.\u003c\/p\u003e\n\n\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003eContract feature\u003c\/td\u003e\n\u003ctd\u003eChannel effect\u003c\/td\u003e\n\u003ctd\u003eWhy it matters\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMulti-period service scope\u003c\/td\u003e\n\u003ctd\u003eExtends the customer relationship\u003c\/td\u003e\n\u003ctd\u003eImproves revenue visibility\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eIntegrated technical scope\u003c\/td\u003e\n\u003ctd\u003eBundles products and services\u003c\/td\u003e\n\u003ctd\u003eRaises switching costs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePerformance-based delivery\u003c\/td\u003e\n\u003ctd\u003eLinks service to operational results\u003c\/td\u003e\n\u003ctd\u003eStrengthens customer trust\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003cp\u003e\u003cstrong\u003eField deployment and installation teams\u003c\/strong\u003e are the final mile of the channel model. They convert a sale into an operating asset by installing, commissioning, and supporting equipment at the customer site. In energy services, this channel is essential because customers do not buy a product only for shipment; they buy a working outcome in a complex operating environment.\u003c\/p\u003e\n\n\u003cp\u003eThis channel also links directly to safety and reliability. Field teams must coordinate with customer engineers, local contractors, and SLB service managers. If the installation is slow or faulty, the financial effect can be immediate through downtime, rework, or contract penalties. That is why field execution is part of the channel structure, not just delivery.\u003c\/p\u003e\n\n\u003cul\u003e\n\u003cli\u003eInstallation teams reduce the gap between sale and value realization.\u003c\/li\u003e\n \u003cli\u003eOn-site support protects equipment performance.\u003c\/li\u003e\n \u003cli\u003eLocal deployment helps SLB serve remote and technically demanding assets.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003eAcross these \u003cstrong\u003e5\u003c\/strong\u003e channel elements, SLB's model depends on technical depth, local presence, and repeat commercial interaction rather than mass distribution. That structure fits a business where contracts are large, service quality is measurable, and customer operations are geographically dispersed.\u003c\/p\u003e\n\u003ch2\u003eSLB N.V. - Canvas Business Model: Customer Segments\u003c\/h2\u003e\n\n\u003cp\u003e\u003cstrong\u003e12\u003c\/strong\u003e OPEC member countries and large state-controlled upstream budgets define the biggest national oil company customer pool.\u003c\/p\u003e\n\n\u003cp\u003eNational oil companies buy across full-field life cycles: reservoir imaging, drilling, completions, well construction, production optimization, and digital field management. These customers matter because they control large reserve bases and long-duration contracts, which fit multi-year service and technology spending.\u003c\/p\u003e\n\n\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003eCustomer segment\u003c\/td\u003e\n\u003ctd\u003eReal-life number\u003c\/td\u003e\n\u003ctd\u003eBusiness relevance\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNational oil companies\u003c\/td\u003e\n\u003ctd\u003e\n\u003cstrong\u003e12\u003c\/strong\u003e OPEC members\u003c\/td\u003e\n\u003ctd\u003eLarge reserve holders and multi-year upstream programs\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInternational oil and gas operators\u003c\/td\u003e\n\u003ctd\u003e\n\u003cstrong\u003e20\u003c\/strong\u003e largest oil and gas companies globally\u003c\/td\u003e\n \u003ctd\u003eComplex projects, global supply chains, and repeated service demand\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOffshore and subsea developers\u003c\/td\u003e\n\u003ctd\u003e\n\u003cstrong\u003e1,000+\u003c\/strong\u003e meters water depth in deepwater projects\u003c\/td\u003e\n \u003ctd\u003eHigh-value wells, subsea systems, and intervention services\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUnconventional gas producers\u003c\/td\u003e\n\u003ctd\u003e\n\u003cstrong\u003e103.2\u003c\/strong\u003e billion cubic feet per day of U.S. dry natural gas production\u003c\/td\u003e\n \u003ctd\u003eLarge-scale horizontal drilling, completions, and production services\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCCS and geothermal customers\u003c\/td\u003e\n\u003ctd\u003e\n\u003cstrong\u003e51\u003c\/strong\u003e million tonnes per year of global CO2 capture capacity\u003c\/td\u003e\n \u003ctd\u003eCarbon storage site characterisation, injection, monitoring, and geothermal subsurface work\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003cp\u003eInternational oil and gas operators are the second major customer group. This segment includes companies with assets across multiple countries, basins, and project types. Their spending is tied to exploration, development, and brownfield optimization. For a service company, this matters because these customers often standardize vendors across regions, which can create repeatable demand in \u003cstrong\u003e2\u003c\/strong\u003e or more operating regions at once.\u003c\/p\u003e\n\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003e20\u003c\/strong\u003e major global oil and gas companies can generate repeated tender cycles across several basins.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003e1\u003c\/strong\u003e operator can award work across exploration, drilling, completions, and production in the same year.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003eMultiple\u003c\/strong\u003e country footprints increase demand for local execution, logistics, and compliance.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003eOffshore and subsea developers are a separate customer group because the asset base is capital intensive and technically complex. Deepwater projects often sit below \u003cstrong\u003e1,000\u003c\/strong\u003e meters of water, with higher engineering, installation, and intervention requirements than shallow-water work. That raises the value of reservoir characterization, subsea well construction, and remote operations.\u003c\/p\u003e\n\n\u003cp\u003eUnconventional gas producers are anchored in North America, especially the United States. U.S. dry natural gas production reached \u003cstrong\u003e103.2\u003c\/strong\u003e billion cubic feet per day in \u003cstrong\u003e2024\u003c\/strong\u003e. This segment buys high-volume, repeatable services: horizontal drilling, multistage completions, pressure pumping, and production optimization. It is a scale business, so efficiency per well and per stage matters.\u003c\/p\u003e\n\n\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003eUnconventional gas metric\u003c\/td\u003e\n\u003ctd\u003eNumber\u003c\/td\u003e\n\u003ctd\u003eWhat it signals\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eU.S. dry natural gas production\u003c\/td\u003e\n\u003ctd\u003e\n\u003cstrong\u003e103.2\u003c\/strong\u003e billion cubic feet per day\u003c\/td\u003e\n \u003ctd\u003eLarge service intensity and repeat demand\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWell development model\u003c\/td\u003e\n\u003ctd\u003e\n\u003cstrong\u003e1\u003c\/strong\u003e pad can host multiple horizontal wells\u003c\/td\u003e\n \u003ctd\u003eHigh service density per site\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCompletion style\u003c\/td\u003e\n\u003ctd\u003e\n\u003cstrong\u003e10+\u003c\/strong\u003e fracture stages is common in long laterals\u003c\/td\u003e\n \u003ctd\u003eStrong demand for completion services and consumables\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003cp\u003eCCS and geothermal customers are smaller than the oil and gas base, but they are strategically important because they use the same subsurface capabilities. Global CO2 capture capacity reached \u003cstrong\u003e51\u003c\/strong\u003e million tonnes per year. That creates demand for storage-site screening, well design, injection systems, and monitoring. Geothermal customers need the same type of reservoir and drilling work, but for heat rather than hydrocarbons.\u003c\/p\u003e\n\n\u003cp\u003eFor CCS, the buyer set includes industrial emitters, developers, utilities, and state-backed energy transition programs. The economics depend on measured storage capacity, injection rates, and monitoring obligations. For geothermal, the buyer set includes power producers and project developers using high-temperature wells and subsurface imaging. Both segments depend on reservoir data, well integrity, and long-term monitoring.\u003c\/p\u003e\n\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003e51\u003c\/strong\u003e million tonnes per year of CO2 capture capacity defines the current CCS customer base.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003e1\u003c\/strong\u003e geothermal well can require the same subsurface disciplines used in oil and gas.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003e24\/7\u003c\/strong\u003e monitoring and verification needs make digital services part of the buying decision.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003eCustomer segmentation for SLB N.V. is built around asset type, not only company size. A national oil company in the Middle East, a U.S. shale gas producer, and a deepwater developer can all buy from the same company, but the contract size, technical scope, and service mix differ. That gives the business exposure to \u003cstrong\u003e5\u003c\/strong\u003e distinct demand pools: state oil companies, international operators, offshore developers, unconventional gas producers, and CCS or geothermal clients.\u003c\/p\u003e\u003ch2\u003eSLB N.V. - Canvas Business Model: Cost Structure\u003c\/h2\u003e\n\n\u003cp\u003e\u003cstrong\u003e2024 revenue: $36.29 billion\u003c\/strong\u003e.\u003c\/p\u003e\n\n\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCost structure item\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eReal-life figure\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eLate 2025 disclosure status\u003c\/strong\u003e\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRevenue base\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e$36.29 billion\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2024 annual reported revenue\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEmployee count\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e111,000\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2024 year-end workforce\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eResearch and development\u003c\/td\u003e\n\u003ctd\u003eNot separately disclosed in the figures used here\u003c\/td\u003e\n \u003ctd\u003eExpense exists, but no figure stated here without a verified filing line item\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAcquisition and integration costs\u003c\/td\u003e\n\u003ctd\u003eNot separately disclosed in the figures used here\u003c\/td\u003e\n \u003ctd\u003eDepends on transaction-specific reporting\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eField operations and manufacturing\u003c\/td\u003e\n\u003ctd\u003eNot separately disclosed in the figures used here\u003c\/td\u003e\n \u003ctd\u003eEmbedded in cost of sales and services\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLogistics and insurance\u003c\/td\u003e\n\u003ctd\u003eNot separately disclosed in the figures used here\u003c\/td\u003e\n \u003ctd\u003eEmbedded in operating and supply-chain expenses\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWorkforce and digital infrastructure\u003c\/td\u003e\n\u003ctd\u003e\n\u003cstrong\u003e111,000\u003c\/strong\u003e employees\u003c\/td\u003e\n\u003ctd\u003eWorkforce size is a direct cost driver\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003cp\u003e\u003cstrong\u003eResearch and development\u003c\/strong\u003e is a fixed and semi-fixed cost because SLB must keep spending on tools, software, materials, and testing to support reservoir characterization, drilling, production, and digital workflows. In the company's cost structure, R\u0026amp;D matters because it protects pricing power and supports technology-led services. Without verified line-item disclosure in this chapter, the only hard figure included here is the company's \u003cstrong\u003e$36.29 billion\u003c\/strong\u003e revenue base, which is the scale against which R\u0026amp;D intensity should be measured in academic work.\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eAcquisition and integration costs\u003c\/strong\u003e are transaction-dependent costs that usually include advisory fees, restructuring, systems migration, retention, and process alignment. For SLB, these costs matter when the company buys technology, software, or service capabilities because integration delays can reduce expected return on invested capital. No separate amount is stated here, so the relevant academic point is that these costs are not recurring in the same way as payroll or manufacturing overhead, but they can still affect earnings in a specific year.\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eField operations and manufacturing\u003c\/strong\u003e are the core operating costs in SLB's model. These include labor, equipment, repair, materials, and production support across drilling, well construction, intervention, and production systems. They rise with activity levels, job count, and equipment usage. This part of the cost base is tied directly to service delivery, so it is one of the strongest drivers of gross margin pressure when utilization falls.\u003c\/p\u003e\n\n\u003cul\u003e\n\u003cli\u003eOnshore and offshore field execution costs\u003c\/li\u003e\n \u003cli\u003eManufacturing labor and plant overhead\u003c\/li\u003e\n\u003cli\u003eMaterials, parts, and consumables\u003c\/li\u003e\n\u003cli\u003eMaintenance, testing, and rework\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003cstrong\u003eLogistics and insurance\u003c\/strong\u003e are supporting costs that become material in a global energy services company. Logistics includes transport of equipment, spare parts, and specialized tools across countries and offshore locations. Insurance covers property, marine, liability, and operational risk. These costs matter because long-haul shipping, cross-border movement, and high-value equipment increase both the direct expense and the risk exposure of each project.\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eWorkforce and digital infrastructure\u003c\/strong\u003e are major structural costs because SLB's model depends on skilled engineers, geoscientists, technicians, software staff, and field personnel. The company reported \u003cstrong\u003e111,000\u003c\/strong\u003e employees at year-end 2024. That scale makes wages, benefits, training, cybersecurity, cloud systems, enterprise software, and data platforms central to the cost base. In academic analysis, this is the link between operating scale and fixed-cost absorption: higher activity spreads these costs across more revenue, while lower activity leaves the cost base underused.\u003c\/p\u003e\n\n\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCost driver\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eQuantitative anchor\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eWhy it matters\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRevenue scale\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e$36.29 billion\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eDefines the denominator for cost intensity analysis\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWorkforce scale\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003e111,000\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eDrives payroll, benefits, training, and support costs\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProject execution footprint\u003c\/td\u003e\n\u003ctd\u003eGlobal\u003c\/td\u003e\n\u003ctd\u003eRaises logistics, insurance, and field support burden\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTechnology intensity\u003c\/td\u003e\n\u003ctd\u003eHigh\u003c\/td\u003e\n\u003ctd\u003eSupports R\u0026amp;D and digital infrastructure spending\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003cul\u003e\n\u003cli\u003eHigh fixed costs in personnel and digital systems\u003c\/li\u003e\n \u003cli\u003eVariable costs linked to project volume and field activity\u003c\/li\u003e\n \u003cli\u003eTransaction costs that can spike during acquisitions or restructuring\u003c\/li\u003e\n \u003cli\u003eGlobal operating costs tied to transport, insurance, and cross-border execution\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSLB N.V. - Canvas Business Model: Revenue Streams\u003c\/h2\u003e\n\n\u003cp\u003eSLB N.V. generated \u003cstrong\u003e$33.1 billion\u003c\/strong\u003e of revenue in 2023, and its revenue model is built on a mix of equipment sales, software subscriptions, field services, large project execution, and energy-transition work. The mix matters because it spreads income across upfront sales, recurring software, and long-cycle contracts.\u003c\/p\u003e\n\n\u003cp\u003eRevenue streams in SLB N.V. are tied to oilfield activity, digital adoption, and infrastructure spending. That means revenue is not one line item; it comes from several business lines that behave differently across the drilling, production, and decarbonization cycle.\u003c\/p\u003e\n\n\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRevenue stream\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eHow SLB N.V. earns it\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eRevenue logic\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eWhat matters financially\u003c\/strong\u003e\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProduct sales\u003c\/td\u003e\n\u003ctd\u003eTools, equipment, consumables, and systems sold to operators\u003c\/td\u003e\n \u003ctd\u003eUpfront transaction revenue\u003c\/td\u003e\n\u003ctd\u003eSupports near-term revenue, but can be cyclical\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDigital software and ARR\u003c\/td\u003e\n\u003ctd\u003eSoftware licenses, subscriptions, and recurring digital services\u003c\/td\u003e\n \u003ctd\u003eRecurring annual revenue\u003c\/td\u003e\n\u003ctd\u003eImproves visibility and margin quality\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eServices and project contracts\u003c\/td\u003e\n\u003ctd\u003eField operations, engineering, well services, and integrated projects\u003c\/td\u003e\n \u003ctd\u003eContract-based revenue over time\u003c\/td\u003e\n\u003ctd\u003eLarge revenue base, tied to activity levels and project timing\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSubsea and production systems\u003c\/td\u003e\n\u003ctd\u003eHardware, subsea equipment, artificial lift, completions, and production infrastructure\u003c\/td\u003e\n \u003ctd\u003eOrder-driven and project-driven revenue\u003c\/td\u003e\n\u003ctd\u003eOften high-ticket and capital-intensive\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCCS and new energy solutions\u003c\/td\u003e\n\u003ctd\u003eCarbon capture, geothermal, hydrogen, and related subsurface services\u003c\/td\u003e\n \u003ctd\u003eProject contracts, pilot work, and infrastructure buildout\u003c\/td\u003e\n \u003ctd\u003eSmaller today, linked to long-term energy-transition spending\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003cp\u003e\u003cstrong\u003eProduct sales\u003c\/strong\u003e are the most direct revenue stream. SLB N.V. sells drilling tools, completion equipment, production hardware, and consumables used in the field. These sales usually book when the equipment ships or is accepted, so they can lift revenue quickly when activity is strong. This stream is important because it converts engineering capability into immediate cash flow, but it also tends to rise and fall with customer capital spending.\u003c\/p\u003e\n\n\u003cp\u003eIn academic work, product sales are useful for showing how an industrial technology company monetizes its installed base. When oil and gas operators drill more wells or replace equipment more often, this stream grows. When operators cut spending, product sales can slow quickly.\u003c\/p\u003e\n\n\u003cul\u003e\n\u003cli\u003eUpfront revenue recognition is common for shipped equipment.\u003c\/li\u003e\n \u003cli\u003eReplacement parts and consumables create repeat sales.\u003c\/li\u003e\n \u003cli\u003eSales are linked to rig activity, well count, and field development cycles.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003cstrong\u003eDigital software and ARR\u003c\/strong\u003e refers to annual recurring revenue from software subscriptions and digital services. ARR means the value of contracted recurring revenue expected over a 12-month period. This stream matters because it is more predictable than one-time equipment sales and usually carries stronger margins than heavy-field hardware businesses.\u003c\/p\u003e\n\n\u003cp\u003eSLB N.V. uses digital tools for subsurface interpretation, drilling optimization, production analytics, and asset performance. For a business model canvas, this stream shows how the company captures value from data, not just physical equipment. That is important in research because it shows a shift from transactional revenue to recurring revenue.\u003c\/p\u003e\n\n\u003cul\u003e\n\u003cli\u003eSoftware subscriptions create recurring cash inflow.\u003c\/li\u003e\n \u003cli\u003eDigital workflows can be bundled with service contracts.\u003c\/li\u003e\n \u003cli\u003eARR improves revenue visibility compared with spot equipment sales.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003cstrong\u003eServices and project contracts\u003c\/strong\u003e form a large part of SLB N.V. revenue. These include well construction, reservoir evaluation, intervention, production enhancement, and integrated project management. Revenue here is usually recognized as work is performed, which means timing depends on service delivery, project milestones, and customer activity.\u003c\/p\u003e\n\n\u003cp\u003eThis stream matters because it connects SLB N.V. to the operating budgets of oil and gas producers. If exploration, development, and maintenance activity increase, this revenue line grows. If customers defer projects, the company sees slower revenue even if its technology demand remains intact.\u003c\/p\u003e\n\n\u003cul\u003e\n\u003cli\u003eRevenue is tied to field hours, engineering work, and project progress.\u003c\/li\u003e\n \u003cli\u003eLong-term contracts can smooth revenue across quarters.\u003c\/li\u003e\n \u003cli\u003eIntegrated projects can bundle multiple service lines into one contract.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003cstrong\u003eSubsea and production systems\u003c\/strong\u003e bring in revenue from subsea equipment, surface systems, production hardware, completions, and related infrastructure. These products are often expensive, engineered to order, and linked to large offshore developments. Because the systems are capital-intensive, this revenue stream can generate large contract values when projects move forward.\u003c\/p\u003e\n\n\u003cp\u003eThis stream is strategically important because it gives SLB N.V. exposure to offshore development and production infrastructure, not only drilling services. In a business model canvas, it shows the company's ability to monetize complex engineered systems across the life of a field.\u003c\/p\u003e\n\n\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSubsea and production systems feature\u003c\/strong\u003e\u003c\/td\u003e\n \u003ctd\u003e\u003cstrong\u003eRevenue effect\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEngineered-to-order equipment\u003c\/td\u003e\n\u003ctd\u003eSupports larger contract values\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLong project lead times\u003c\/td\u003e\n\u003ctd\u003eDelays revenue recognition until milestones are met\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOffshore development exposure\u003c\/td\u003e\n\u003ctd\u003eLinks revenue to deepwater investment cycles\u003c\/td\u003e\n \u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInstalled base support\u003c\/td\u003e\n\u003ctd\u003eCreates aftermarket and service revenue\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003cp\u003e\u003cstrong\u003eCCS and new energy solutions\u003c\/strong\u003e are smaller revenue streams today but important for future growth. CCS means carbon capture and storage, where carbon dioxide is captured and injected into underground formations. SLB N.V. also works on geothermal, hydrogen-related subsurface activity, and other lower-carbon projects. These projects usually generate revenue through engineering, consulting, subsurface assessment, pilot work, and full project execution.\u003c\/p\u003e\n\n\u003cp\u003eThis stream matters because it shows how SLB N.V. is using its subsurface expertise outside oil and gas. For students writing about business model change, this is a clear example of capability transfer: the same technical skills used in reservoirs and wells can be sold into decarbonization projects.\u003c\/p\u003e\n\n\u003cul\u003e\n\u003cli\u003eRevenue is often project-based rather than subscription-based.\u003c\/li\u003e\n \u003cli\u003eEarly-stage CCS work can involve engineering and feasibility studies.\u003c\/li\u003e\n \u003cli\u003eCommercial scale depends on regulation, carbon pricing, and industrial demand.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRevenue stream\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eTypical pricing model\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eRevenue timing\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eBusiness model impact\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProduct sales\u003c\/td\u003e\n\u003ctd\u003eUnit sales\u003c\/td\u003e\n\u003ctd\u003eImmediate or near-term\u003c\/td\u003e\n\u003ctd\u003eHigh volume, cyclical\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDigital software and ARR\u003c\/td\u003e\n\u003ctd\u003eSubscription and license\u003c\/td\u003e\n\u003ctd\u003eRecurring\u003c\/td\u003e\n\u003ctd\u003eHigher visibility\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eServices and project contracts\u003c\/td\u003e\n\u003ctd\u003eService fees and milestone billing\u003c\/td\u003e\n\u003ctd\u003eOver contract life\u003c\/td\u003e\n\u003ctd\u003eLarge base revenue\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSubsea and production systems\u003c\/td\u003e\n\u003ctd\u003eEngineered equipment and project pricing\u003c\/td\u003e\n \u003ctd\u003eMilestone-based\u003c\/td\u003e\n\u003ctd\u003eCapital-intensive, high-value\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCCS and new energy solutions\u003c\/td\u003e\n\u003ctd\u003eEngineering and project contracts\u003c\/td\u003e\n\u003ctd\u003eEarly-stage and project-based\u003c\/td\u003e\n\u003ctd\u003eLong-term option on energy transition\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003cp\u003eThe revenue mix gives SLB N.V. a layered model: cash from products, recurring income from software, scale from services, and optionality from CCS and new energy. That mix is what you should use when analyzing how the company creates and captures value in the business model canvas.\u003c\/p\u003e","brand":"dcf.fm","offers":[{"title":"Default Title","offer_id":44601621381269,"sku":"slb-business-model-canvas","price":7.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0630\/5189\/0837\/files\/slb-business-model-canvas.png?v=1740213263","url":"https:\/\/dcf-model.com\/es\/products\/slb-business-model-canvas","provider":"AI-Powered Discounted Cash Flow Model Templates","version":"1.0","type":"link"}