ReservoirFlow

Convert Computing Capacity into Valuable Decisions

Hiesab operates as an AI partner at the execution layer to convert computing capacity into real operational value through chat-first workflows. ReservoirFlow is Hiesab's scientific-agentic AI ecosystem for reservoir simulation and engineering. ReservoirFlow utilizes AI proxy models based on physics-informed neural networks (PINNs) and AI agents so teams can move faster from data to the right decision.

Why ReservoirFlow is Different

ReservoirFlow is designed for both reservoir engineers and AI professionals. Its Pythonic structure provides seamless integration for AI developers, engineers, and decision makers. Engineers keep scientific depth, while managers gain faster access to scenario outcomes. Instead of adding more complexity, we focus on practical execution with transparent, measurable impact in reservoir simulation and engineering workflows.

• Constrained by Physics: Physics-informed neural networks (PINNs) for simulation behavior that remains grounded in reservoir physics.
• AI proxy models: Accelerate simulation loops for faster what-if analysis, forecasting, and planning.
• Chat-to-simulation interfaces: Teams can request forecasts, compare cases, and trigger model runs simply by chatting.
• Hybrid simulation roadmap: Hiesab is planning to integrate ReservoirFlow with classical numerical simulators to enable AI-numerical hybrid workflows.
• Next-generation simulation engine: Hiesab is also developing its own reservoir simulation engine to push the boundaries of this technology and exploit advanced techniques that fit AI-driven decisions.

Core use cases

• Reservoir simulation acceleration for faster study cycles and operational planning.
• History matching and production forecasting with physics-consistent AI support.
• Automated scenario analysis for development planning and recovery strategy.
• Decision-intelligence workflows for reservoir engineers, managers, and technical leadership.

Strategic value with Hiesab

Hiesab's strategy is to be the AI execution partner that converts large computing capacity into measurable reservoir outcomes. ReservoirFlow is the execution layer that turns infrastructure into value through PINNs-first proxy models, intelligent agent orchestration, and chat interfaces that automate repetitive technical workflows. The advantage of this strategy is clear: teams can validate high-value reservoir workflows quickly and be ready for maximum utilization of the current or the future computing capacity.

• Compute-to-value: Faster conversion of simulation capacity into practical decisions.
• Pilot-to-scale path: Start with focused use cases and scale with KPI-based confidence.
• Decision access: Engineers and managers can run and compare scenarios through guided or chat-driven interfaces.

Watch ReservoirFlow in Action!

See how ReservoirFlow helps teams reduce cycle time from compute to value through chat-driven execution workflows.

ReservoirFlow AI Agent Demo 2026.

ReservoirFlow is delivered through an open Python ecosystem and an enterprise pathway for production deployment, custom studies, and team training. This allows Hiesab to partner with organizations as an AI execution layer focused on reservoir simulation and engineering outcomes at scale.