Train Driller’s Method circulation with live choke control, rate changes, and pressure tracking.
Request Demo >Aligned to IADC and IWCF driller-level circulation outcomes, this simulation improves execution quality during influx circulation by linking control inputs to pressure behavior. Better control reduces secondary influx risk, avoids destabilizing pressure swings, and supports safer, more repeatable performance.
Choke Control Discipline
Practice live choke adjustments to hold target pressures.
Pump Rate Coordination
Manage rate changes while maintaining stable pressure response.
Trend-Based Decisioning
Use trends to adjust controls before margins are exceeded.
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 model simulates Driller’s Method circulation by coupling choke control, pump rate changes, and pressure response rather than scripted procedures. Accuracy is strongest for training stable pressure control and execution discipline during circulation. Where influx behavior or system response is uncertain, outcomes are bounded with sensitivity ranges instead of a single prescribed 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.