Halliburton and Shape Digital advance asset performance management

Halliburton and Shape Digital have collaborated to advance digital asset performance management through a unified asset view that connects subsurface and surface intelligence

The collaboration extends trusted data, domain science, operational expertise, and applied AI to support predictive, asset-level decision-making over the full production lifecycle.

As production systems come more complex and interconnected, production performance can only improve if reservoirs, wells, networks, equipment, and safety systems can be managed as a single connected asset. Integrating engineering models with operational data provides a clearer system-level view and enables more consistent decision-making throughout production operations.

“At the core of this collaboration is the ability to connect decisions throughout the production system. The integration of subsurface and surface intelligence helps our customers plan with confidence, adapt to change, and execute more consistently throughout the asset lifecycle,” asserted Tony Antoun, senior vice president of Halliburton. “Together with Halliburton, we bring operational intelligence and applied AI into the context of real production systems,” added Felipe Baldissera, CEO of Shape Digital.

Halliburton Landmark’s Digital Field Solver (DFS) decision system has been combined with Shape Digital’s applied AI portfolio: Shape Lighthouse, Aura, and Reef. Landmark’s integrated reservoir, well, and production network models serve as the foundation, while Shape Digital provides expertise in equipment reliability, energy efficiency, and safety throughout surface operations. Together, the solution supports connected decision workflows.

Landmark’s integrated production models receive continuous updates from surface intelligence related to equipment condition and reliability. Shape Digital evaluates live and historical equipment behavior through AI, while Landmark feeds the system context to understand effects on flow, constraints, and production targets. This connection has enabled team to identify constraints earlier and respond more quickly to variability while maintaining alignment irrespective of the changes in operating conditions.

Detailed facilities data such as live and historical operating conditions are brought together with Landmark’s production schedules and real-time production context. Shape Digital then utilises AI and engineering expertise to analyze facilities' performance and energy consumption, while Landmark presents a clear view of how operational adjustments are interacting with production plans and system constraints. This is how team can assess tradeoffs between energy efficiency and production objectives, while maintaining execution stability.

Through Shape Digital’s focus on facilities' health and operational risk indicators, Landmark provides the subsurface context required to understand how risks can propagate throughout the asset. Integrity concerns can be much earlier identified and it helps to improve coordination between subsurface and surface teams during safety-critical decisions.

For a faster alignment on priorities, operations, maintenance, safety, and engineering teams work from a shared system view. The path from insight to action is significantly reduced and teams can be more consistent in production operations.

The collaboration between Halliburton and Shape Digital has paved a path toward decisions grounded in science, informed by intelligent automation, and validated through real-world operations. By maintaining a constant connection between subsurface and surface intelligence, this approach certainly helps operators manage complexity, maintain execution consistency, and maximise performance throughout the asset lifecycle.