Rotary Steerable & Motor Behavior
Understand tool response to parameters for precise directional control.
Request Demo >
Higher Precision, Fewer Corrections
Rotary steerable simulations model motor responses, slide ratios, and toolface control for precision steering. Engineers can optimize parameters in real time to improve control in high-angle wells. The result: smoother well paths, longer runs, and greater efficiency
Core Capabilities
Toolface Response Modeling
Model directional response to enhance steering accuracy.
Dogleg Capability Assessment
Evaluate curvature limits for directional drilling safety.
Parameter Sensitivity Testing
Quantify variable impacts on simulation outcome stability.
Benchmarks
Run-Time Engine Utilization
FAQ
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 rotary steerable and motor behavior by coupling RPM, WOB, torque, and directional response rather than static performance curves. Accuracy is strongest for comparing tool response, steering efficiency, and dysfunction risk as conditions change. Where formation interaction or tool-specific variability dominates, outcomes are bounded with sensitivity ranges instead of a single deterministic prediction.
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.