Plan efficient fishing and milling operations with parameter and tool control.
Request Demo >Fishing simulations allow teams to rehearse retrieval strategies, assess tool performance, and refine engagement techniques before deployment. This predictive approach minimizes uncertainty during recovery operations, reducing stuck incidents and tool misalignment while improving surface-to-downhole coordination. The ROI is achieved through shorter recovery time, fewer costly trips, and maximized tool efficiency�translating directly into reduced NPT and safeguarded operational schedules.
Jar Load Optimization
Optimize jar impact force for stuck-pipe recovery.
Milling Torque Limits
Define safe torque thresholds during milling operations.
Fish Engagement Strategy
Model recovery techniques for lost downhole assemblies.
TORQUE, DRAG & MECHANICS
Deploy on-prem, private cloud, or isolated networks. Supported hardware tiers: X1/X2/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.
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; see the full output list for complete coverage.
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.