Plan and execute safe build, hold, and drop profiles with collision control.
Request Demo >Trajectory execution simulations allow planners to visualize build, hold, and drop sequences before drilling begins. Teams can identify potential anti-collision risks and verify steering corrections. This enhances drilling efficiency, minimizes tortuosity, and reduces costly deviation corrections.
Build-Hold-Drop Sequencing
Simulate trajectory phases to control inclination changes.
Anti-Collision Envelopes
Define safe separation boundaries for nearby wells.
Separation Factor Monitoring
Track proximity limits between parallel wellbores dynamically.
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 trajectory execution by coupling build/hold/drop behavior with mechanical response and anti-collision constraints rather than static well plans. Accuracy is strongest for comparing execution strategies, steering response, and collision risk as conditions change. Where subsurface uncertainty or tool variability dominates, outcomes are bounded with sensitivity ranges instead of a single deterministic path.
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.