Halliburton and Shape Digital link subsurface and surface data to optimize production
Halliburton and Shape Digital have partnered to connect reservoir models, well data and live operational information across production systems. The collaboration integrates Halliburton's Digital Field Solver platform with Shape Digital's AI tools-Lighthouse, Aura and Reef-to give operators a unified view of equipment condition, reliability, energy efficiency and safety performance.
The system targets a core problem in modern production: decisions made in isolation. Subsurface engineers, surface operators and maintenance teams often work from separate data sets, slowing response times and creating inconsistencies as offshore and onshore systems grow more complex.
What the integration does
The combined platform connects reservoir, well and production network models with real-time operational data. Operations, engineering and maintenance teams access the same information, reducing the need to translate findings across disciplines.
Specific benefits include faster production planning, improved energy efficiency and stronger asset integrity. The system flags equipment issues before they escalate and identifies operational inefficiencies that span multiple systems.
Why operators need this now
Production assets have become interdependent in ways that older tools cannot capture. A change in reservoir pressure affects well performance, which affects surface equipment stress. Managing these relationships manually creates delays and increases risk.
"At the core of this collaboration is the ability to connect decisions throughout the production system," said Tony Antoun, senior vice president of Landmark Software and Services at Halliburton. "The integration of subsurface and surface intelligence helps our customers plan with confidence, adapt to change, and execute more consistently throughout the asset lifecycle."
Shape Digital CEO Felipe Baldissera added that the partnership brings "operational intelligence and applied AI into the context of real production systems" to support better planning and safer operations.
The broader shift
This collaboration reflects a wider industry movement toward integrating AI, operational data and engineering workflows. Operators are moving beyond point solutions-tools that solve single problems-toward systems that connect decisions across the entire asset.
For managers overseeing production operations, the shift means rethinking how teams collaborate and what data drives decisions. Learn more about AI for Operations to understand how these systems change operational workflows.
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