Plan fish retrieval with tool selection, jar timing, and load control.
Request Demo >Fishing simulations replicate stuck-object recovery using jars, overshots, and spears in realistic downhole conditions. Teams can assess tool engagement, load sequencing, and jar timing for improved recovery efficiency. The result is faster retrieval, reduced NPT, and minimized risk of secondary damage.
Fish Characterization and Engagement
Analyze stuck-object geometry to improve retrieval efficiency.
Jar Timing and Load Windows
Optimize jar activation timing and load thresholds.
BOP-Through Limitations
Define maximum diameters for safe stack passage.
CONCURRENT HUMAN INTERACTION
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 fishing model simulates tool interaction, loads, circulation, and freeing mechanics using real-time string behavior and hydraulics rather than procedural assumptions. Accuracy is strongest for evaluating recovery strategies, sequencing, and mechanical limits as conditions change. Where downhole condition uncertainty dominates, the simulator presents sensitivity ranges and contingency outcomes instead of a single prescribed action.
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.