MPD - Flow-Balance (FB)
Balance inflow and outflow to steady annular pressure.
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Maintain Control in Narrow Windows
Flow reconciliation simulations compare real-time inlet and outlet volumes to detect hidden influx or loss trends. Teams can identify imbalance thresholds early and act before well control deteriorates. This improves detection accuracy, protects formation integrity, and minimizes downtime.
Core Capabilities
Flow-In and Out Reconciliation
Compare inlet and outlet volumes ensuring circulation balance.
Choke Tuning
Adjust choke settings for controlled pressure management.
Annular Pressure Tracking
Monitor downhole pressure fluctuations throughout operations.
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 flow-balance operations by coupling inflow, outflow, and surface control response rather than static imbalance thresholds. Accuracy is strongest for detecting trends, evaluating response timing, and maintaining pressure margins during operational changes. Where sensor uncertainty or transient flow effects dominate, outcomes are bounded with sensitivity ranges instead of a single fixed limit.
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.