SLB and Shell Signal a New Phase for AI in Reservoir Operations

An SLB–Shell digital partnership suggests AI in upstream oil and gas is shifting from experiments to operational scale

10 Feb 2026

A collaboration announced by SLB and Shell in December has renewed debate over whether artificial intelligence is moving from experimentation into routine use in upstream oil and gas operations.

The companies said they would work on shared digital tools to unify data across upstream workflows, an objective the industry has pursued for years with limited success. While neither company described the effort as a decisive moment, some executives and analysts see it as part of a gradual shift in how digital technology is deployed.

Upstream operations have long been marked by fragmented data, with engineers and geoscientists relying on information spread across multiple, often incompatible systems. That fragmentation has contributed to slower decision making, duplicated work and higher operational risk. By bringing subsurface and operational data into a single digital environment, SLB and Shell aim to connect early development planning more closely with day to day production decisions.

The partnership also reflects a change in digital strategy among large operators. Rather than adding new standalone applications, companies are increasingly focusing on integrated platforms that combine data, analytics and domain expertise. SLB brings its experience in subsurface technology and digital infrastructure, while Shell provides operational scale and live use cases intended to move tools beyond pilot projects.

Those involved have stressed that AI is designed to support, rather than replace, technical professionals. Automating routine tasks and identifying patterns in large datasets can free specialists to focus on judgement based and strategic work. That approach aligns with an industry under pressure to improve efficiency while keeping capital spending under control.

The agreement comes amid wider efforts to address structural barriers to digital adoption. Industry groups, including The Open Group, have continued to promote open data standards, seeking to reduce the friction that has slowed progress and limited the ability to scale digital tools across assets and organisations.

Obstacles remain, including data governance, workforce adoption and the challenge of demonstrating long term value. Even so, the direction of travel is becoming clearer. As platforms mature and partnerships expand, data led decision making is moving closer to the centre of competition in upstream oil and gas.