Design sidetrack entry and trajectory with verified mechanical limits.
Request Demo >By simulating multiple sidetrack trajectories, planners can compare geometric constraints, stress envelopes, and torque-drag behavior before committing to a wellpath. This proactive evaluation reduces uncertainty, eliminates costly course corrections, and ensures faster, safer re-entry into productive zones. The ROI is realized through minimized NPT, improved directional control, and more predictable drilling timelines across complex multi-well environments.
Kickoff Point Selection
Determine optimal kickoff depth for smooth deviation.
Toolface Control Strategies
Refine steering control for trajectory precision improvement.
DLS and Envelope Checks
Verify dogleg severity within safe trajectory envelopes.
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 model plans and validates sidetracks by simulating trajectory options, mechanical loads, and pressure response rather than relying on static well plans. Accuracy is strongest for comparing feasibility, risk, and execution margins before committing to a path. Where subsurface uncertainty or execution variability dominates, outcomes are bounded with sensitivity ranges instead of a single deterministic plan.
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.