Train teams for CO2 injection well design and containment assurance.
Request Demo >CCUS simulations model injection flow, CO? phase transitions, and containment stability under real-time pressure and temperature. Teams can validate storage integrity and monitor plume behavior across formations. This ensures safe sequestration, minimizes leakage risk, and supports long-term sustainability goals.
Co₂ Phase Transitions
Model CO₂ states under temperature and pressure shifts.
Containment Control
Model boundary containment under pressure deviations.
Integrity Monitoring
Detect early degradation preventing barrier compromise.
SYSTEM LIMITS & FAILURE MODES
Deploy on-prem, private cloud, or isolated networks. Supported hardware tiers: X1/X3 simulators, Laptop, and Online. Teams can also rent the Endeavor Experience Center for executive demos, assessments, or multi-crew exercises. Typical session: configure scenario parameters, run the study and or simulation sessions, review KPIs, and export results.
Yes. Import well data via WITSML 1.4/2.0 or CSV/JSON, or ingest parameters directly through DOT. Any input from the field—well schematics, logs, tool states, rates/pressures—instantiates a real digital twin of the well for hyper-realistic training and operational planning (Drilling Well on Simulator). APIs and versioned adapters are customized upon request.
The CCUS drilling model reflects the same validated hydraulics, mechanics, and pressure-control behavior used in conventional wells, applied to CO₂-specific fluids, temperatures, and operating constraints. Accuracy is highest for pressure management, circulation behavior, and transition events where inputs are known and measurable. Where long-term formation response or CO₂-rock interaction dominates, the simulator bounds behavior with sensitivity ranges rather than predicting a single outcome.
Inputs typically include the operation configuration—well profile or trajectory, fluid properties, equipment and tool states, boundary conditions, and rate or pressure schedules. Outputs and KPIs capture the scenario’s hydraulic, mechanical, and fluid responses, including pressure and flow behavior across the system, evolving fluid properties, and equipment performance. Results also define , event detection, and time-based cause-and-effect responses to operator actions. Detailed datasets, replays, and assessment metrics can be exported for engineering review, training records, or planning documentation
Enterprise deployments support role-based access control, secure authentication, and encryption of data in transit and at rest. The platform can be deployed on-premise, in private cloud, or in an isolated environment(s) to meet operational and regulatory requirements. Support is provided under defined SLA tiers, with controlled release management and long-term support options available for production environments.