Practice real-time landing and stay-in-zone steering with formation context.
Request Demo >Accurate trajectory control maximizes production potential, minimizes unplanned sidetracks, and enhances overall project returns.
Landing Window Calibration
Calibrate landing zones for precise well placement.
Stay-In-Zone Steering
Maintain wellbore placement within target reservoir intervals.
Structural Model Tie-Ins
Integrate subsystems for holistic mechanical simulation accuracy.
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 geosteering scenarios by integrating trajectory execution with structural targets, landing windows, and real-time positional uncertainty rather than static well plans. Accuracy is strongest for evaluating relative steering decisions, window sensitivity, and risk as new data is assimilated. Where subsurface interpretation uncertainty dominates, results are bounded with probabilistic envelopes 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.