Simulate circulating pressures and ECD for rotary, sliding, and eccentric flow regimes.
Request Demo >ECD simulations model dynamic pressure changes along the wellbore during circulation. By adjusting flow rates and fluid rheology, engineers can maintain stability and prevent formation fracturing. This results in fewer well-control incidents, reduced losses, and optimized penetration rates.
ECD Prediction
Predict downhole pressure response under dynamic circulation changes.
Pressure Loss Analysis
Calculate frictional pressure losses across circulation paths.
Flow Regime Modeling
Simulate multiphase behaviors across wellbore cross-sections.
LIVE STATE EVOLUTION
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 calculates ECD and pressure losses across rotary, sliding, and eccentric annulus conditions using state-dependent hydraulics and real-time geometry effects rather than averaged assumptions. Accuracy is strongest for comparing operating modes and tracking pressure margins as rotation, rate, and well geometry change. Where unmeasured friction or transient effects dominate, results are bounded with sensitivity ranges instead of a single fixed value.
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.