Simulation for Oil & Gas

Oil & gas operations are moving into deeper, harsher, and more complex environments, where uncertainty impacts safety, cost, and timelines. Conventional approaches and disconnected tools limit visibility into real-world behavior, making it difficult to anticipate failure, optimize designs, or make confident decisions.

SIMULIA enables teams to move beyond reactive decision-making with integrated, physics-based simulation. On a unified platform, engineers can model wells, reservoirs, and surface systems under real-world conditions, capture complex interactions, and leverage high-fidelity virtual twins to test scenarios, optimize performance, and predict failures early, reducing risk, improving reliability, and accelerating efficient, sustainable operations across the asset lifecycle.

SIMULIA DigitalROCK – Virtual Porous Media Lab strengthens CCUS workflows by delivering fast, physics-based simulations for CO₂ injection, plume migration, and long-term storage integrity. Its automated setup, scalable HPC performance, and consistent data handling help teams quickly assess storage capacity, containment risks, and regulatory compliance with minimal manual effort. For hydrocarbon assets, the solution improves forecasting accuracy through streamlined reservoir workflows, automated relative permeability analysis, and efficient scenario evaluation. Integrated history matching and repeatable model workflows enable faster insights, helping teams optimize recovery, reduce uncertainty, and accelerate field development decisions.

For downstream refineries, petrochemical plants, and processing facilities, SIMULIA helps ensure safe, efficient operations by predicting how critical assets behave under real operating conditions throughout their lifecycles. Equipment such as pumps, compressors, reactors, furnaces, piping systems, and storage tanks is continuously exposed to pressure fluctuations, thermal transients, corrosion, vibration, and creep that can degrade performance or lead to failure.

SIMULIA enables operators to evaluate structural integrity, fitness-for-service, remaining useful life, and potential failure mechanisms using high-fidelity simulation integrated with inspection and monitoring data. With these predictive insights, maintenance teams can prioritize repairs, optimize turnaround planning, assess equipment modifications, and maintain compliance with industry standards. The result is improved reliability, reduced maintenance costs, extended asset life, and safer, uninterrupted production.