Practice shut-in execution using soft and hard shut-in sequences with live pressure response.
Request Demo >Aligned to IADC and IWCF driller-level well control requirements, this simulation links operator actions directly to pressure response and outcomes. It improves procedural consistency, reduces pressure overshoot risk, and strengthens certified execution readiness.
Sequencing Discipline
Rehearse correct shut-in steps under time pressure.
Pressure Response Tracking
Observe DP and casing pressure behavior after shut-in actions.
Action Timing Control
Train timing to minimize pressure excursions and instability.
CONCURRENT HUMAN INTERACTION
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 model simulates shut-in execution by coupling soft and hard shut-in actions with real-time pressure response rather than rote procedures. Accuracy is strongest for training correct sequencing, timing, and pressure awareness under stress. Where system response or equipment behavior is uncertain, outcomes are bounded with sensitivity ranges instead of a single fixed result.
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.