Quantify annular pressure and optimize hydraulics across operating modes.
Request Demo >Accurate ECD modeling protects the wellbore and improves penetration rates. By dynamically modeling fluid behavior across annular geometries, teams maintain pressure control and prevent formation damage. This capability reduces NPT, extends bit life, and keeps drilling performance within safe hydraulic limits.
ECD and Pressure Profiling
Model equivalent circulating density for safe drilling margins.
Mode-Specific Hydraulics (Rotary-Sliding)
Model pressure variations in rotary versus slide drilling.
Eccentric Annulus Analysis
Evaluate off-center pipe effects on hydraulic distribution.
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 calculates ECD and pressure losses using real-time hydraulics, rheology, and well geometry rather than static charts or averages. Accuracy is strongest for tracking relative changes and pressure margins as rate, fluid, and geometry evolve. Where unmeasured friction or transient effects dominate, results are bounded with sensitivity ranges instead of a single fixed value.
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.