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Shape Digital and Halliburton form collaboration to integrate AI-driven asset performance management for energy operations

Kelly Lippke by Kelly Lippke
July 2, 2026 at 4:37 PM
Digital

AI-made

Disaster Expo

Shape Digital, a spin-off of FPSO specialist MODEC, has entered a strategic collaboration with Halliburton to push digital asset performance management forward across energy operations. The agreement links subsurface and surface intelligence through a unified asset view—combining applied AI, domain science, and operational expertise to support decision-making across the full asset lifecycle.

Shape Digital and Halliburton announce strategic collaboration

Two companies that don’t usually show up in the same sentence — an FPSO specialist’s digital spin-off and one of the world’s largest oilfield services firms — have joined forces. Shape Digital brings MODEC’s decades of offshore operational experience to the table. Halliburton contributes its Landmark division, which has long anchored subsurface decision-making across the industry.

The agreement targets digital asset performance management across the full asset lifecycle, a broader scope than a typical software integration deal. It means connecting decisions made underground — around reservoirs and wells — with those made at the surface, where equipment reliability, energy use, and safety intersect every single day.

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KNF

At the center of the collaboration is a unified asset view. Rather than treating subsurface and surface operations as separate domains with separate data streams, the partnership pulls them together under a single intelligence layer. Trusted data, domain science, operational expertise, and applied AI all shape how that unified view functions.

Technology platforms at the center of the agreement

The technical foundation rests on two distinct but complementary platforms. Halliburton contributes its Landmark Digital Field Solver (DFS)—a decision system built around integrated reservoir, well, and production network models. Shape Digital brings its own applied AI portfolio: three tools called Lighthouse, Aura, and Reef.

The source material doesn’t break down each tool’s individual function, but together they represent Shape Digital’s approach to turning operational data into actionable intelligence. Paired with DFS, the combination is designed to link subsurface modeling with surface-operations intelligence in a way neither platform could fully pull off on its own.

Equipment reliability, energy efficiency, and safety monitoring all fall within scope. These aren’t abstract priorities—they’re the daily reality for anyone running complex offshore or onshore energy assets, where a single unplanned failure can cascade fast.

Three operational areas targeted by the integrated system

The collaboration points to specific domains where the integrated approach is expected to make a real difference. The first is integrated production planning — coordinating reservoir behavior, well performance, and surface processing into a coherent operational picture, instead of managing each piece in isolation.

Energy efficiency comes next. Aligning efficiency objectives with production targets is a growing challenge as energy companies face both cost pressures and emissions scrutiny. The collaboration aims to support that alignment by giving operators a clearer view of where inefficiencies show up across the asset.

Safety and asset integrity management may be where the stakes are highest. Monitoring equipment condition and catching risks before they escalate requires reliable data and models capable of interpreting what that data means in context. When subsurface and surface intelligence feed into the same system, a decision made in one area is far less likely to undercut outcomes in another — and that kind of coherence is genuinely hard to achieve when teams are working off disconnected tools and siloed data.

MODEC’s broader digital strategy and Shape Digital’s market role

Shape Digital didn’t emerge from nowhere. It was built on a foundation MODEC has been developing for decades across FPSO engineering, procurement, construction, installation, leasing, and operations and maintenance. That operational history grounds Shape Digital’s tools—each solution, according to MODEC, reflects real-world lessons learned from resolved operational challenges.

The logic behind spinning it off as a separate platform is straightforward enough. MODEC accumulated knowledge that proved valuable well beyond its own fleet, so rather than keeping it internal, the company created Shape Digital to deliver applied AI and operational intelligence solutions to the broader energy industry. The Halliburton collaboration is a significant move in that direction.

MODEC continues developing its own internal digital & analytics capabilities separately from Shape Digital. Those internal programs include predictive maintenance, AI-enabled digital twins aimed at reducing greenhouse gas emissions, and digital barrier management — efforts focused on challenges specific to MODEC’s own operations rather than the wider market.

The two tracks together — Shape Digital’s external platform and MODEC’s internal digital programs — represent what the company calls a strategic differentiator. The goal isn’t just to improve MODEC’s own performance, but to position the company as a credible partner in the energy industry’s broader digital transformation.

Integrated, AI-assisted asset management

The Shape Digital and Halliburton collaboration brings subsurface decision modeling and surface operations AI together under a unified asset performance framework. Halliburton Landmark’s Digital Field Solver is integrated with Shape Digital’s Lighthouse, Aura, and Reef tools to support production planning, energy efficiency, and safety management.

Shape Digital is MODEC’s dedicated vehicle for scaling its operational knowledge to external energy industry clients. MODEC runs its own internal digital programs in parallel — predictive maintenance, AI-enabled digital twins for emissions reduction, and digital barrier management among them.

Taken together, the collaboration reflects a wider industry shift: integrated, AI-assisted decision-making that spans the full asset lifecycle, from reservoir to surface, rather than tackling subsurface and surface challenges through separate, disconnected systems.

Author Profile
Kelly Lippke

Kelly is an experienced writer with 15 years of experience exploring the big stories that shape our world, from tech breakthroughs and space exploration to climate, energy, and the fascinating quirks of science. She has a talent for turning complex ideas into sharp, memorable insights that stay with readers long after they’ve finished reading.

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