Model laminar, transitional, and turbulent flow regimes for efficient transport.
Request Demo >By modeling laminar, transitional, and turbulent flow regimes, teams can optimize annular transport efficiency under dynamic drilling conditions. The simulation enables real-time visualization of particle concentration and flow transitions to anticipate cleaning challenges before they occur. This improves hydraulic energy management, reduces NPT from poor hole cleaning, and delivers measurable ROI through reduced pump wear and improved overall circulation stability.
Flow Regime Classification
Identify laminar, transitional, and turbulent flow regimes.
Particle Concentration Tracking
Monitor solids distribution in circulating fluids.
Pressure Drop Analysis
Quantify losses across pipe and annulus systems.
HYDRAULICS
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
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.