MPD - Constant Bottomhole Pressure (CBHP)
Hold downhole pressure constant using adaptive choke control.
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Preserve Margins, Reduce Incidents
Choke simulations train crews to manage backpressure under varying flow conditions using automated control systems. By tuning algorithms, teams maintain target BHP with minimal manual intervention. This ensures stable operations, prevents influx/loss events, and enhances process safety.
Core Capabilities
Adaptive Choke Algorithms
Simulate smart choke control for pressure regulation.
Standpipe-BHP Response Modeling
Model standpipe and bottomhole pressure correlation dynamics.
Connection Management Strategies
Optimize connection timing reducing surge risks.
Benchmarks
Run-Time Engine Utilization
FAQ
SCENARIO BRANCHING & COMPARISON
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 MPD constant bottomhole pressure by continuously balancing surface backpressure, flow rate, and downhole hydraulics rather than fixed setpoints. Accuracy is strongest for maintaining pressure margins through transients and operational changes. Where unmeasured losses or boundary effects dominate, outcomes are bounded with sensitivity ranges instead of a single prescribed 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.