Lost-Circulation Response (Bridging, Wellbore Strengthening)
Simulate lost-circulation events and assess bridging or strengthening techniques.
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Regain Circulation, Maintain Stability
LCM simulations test bridging material size, concentration, and placement techniques under live downhole conditions. Teams can model fracture-sealing efficiency and loss prevention strategies before execution. This saves material cost, minimizes downtime, and sustains wellbore integrity.
Core Capabilities
Loss Mechanism Modeling
Simulate fluid loss behavior for mitigation strategy design.
Bridging Material Optimization
Adjust particle sizing to prevent fluid invasion.
Strengthening Strategy Testing
Evaluate blend designs improving wellbore integrity strength.
Benchmarks
Run-Time Engine Utilization
FAQ
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 simulates lost-circulation response by coupling pressure behavior, fluid properties, and wellbore strengthening mechanics rather than static recipes. Accuracy is strongest for comparing bridging strategies, material placement, and pressure recovery as conditions evolve. Where loss paths or formation response are uncertain, outcomes are bounded with sensitivity ranges instead of a single predicted result.
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.