Shape Digital and Halliburton partner to unify energy asset management with AI integration

Shape Digital, the digital spin-off of MODEC, has entered into a strategic collaboration with Halliburton aimed at improving how energy operators manage asset performance across the full production chain.

The agreement brings together Halliburton’s Landmark Digital Field Solver, a decision-making platform built to combine reservoir, well and production network models, with Shape Digital’s applied AI tools, Lighthouse, Aura and Reef. The companies say the aim is to create a ...

unified asset view that connects subsurface intelligence with surface operations, allowing decisions to be made from a single data and analytics layer rather than through separate systems.

At its core, the collaboration reflects a growing industry push towards integrated decision-making in complex energy operations. By linking engineering models with operational data, the partnership is intended to improve production planning, support energy efficiency and strengthen safety and asset integrity management. Halliburton and Shape Digital also say the approach should help operators make more predictive, asset-level decisions over the entire lifecycle of a field or facility.

The combination is notable because it pairs two very different sets of expertise. Shape Digital was built from MODEC’s long experience in offshore engineering, procurement, construction, installation, leasing and operations and maintenance, while Halliburton contributes decades of subsurface and production workflow capability through its Landmark business. Together, the companies are targeting the persistent challenge of bridging the gap between what happens underground and what happens at the surface.

MODEC has presented Shape Digital as a way of extending operational knowledge beyond its own fleet and into the wider market. The company said its digital tools draw on lessons from real operating challenges, while MODEC continues to develop its own internal digital and analytics programmes separately, including predictive maintenance, digital twins designed to reduce greenhouse gas emissions and digital barrier management.

The collaboration also highlights how the sector is shifting towards AI-assisted asset management that spans reservoir behaviour, well performance, surface processing and equipment reliability in one framework. For operators, the attraction lies in more consistent decision-making and a clearer picture of where performance, efficiency and risk intersect.

In an industry where complexity, cost and emissions pressures are all rising, the promise of a unified asset view is likely to appeal well beyond this particular partnership.

Source: Noah Wire Services