Non-Newtonian Models (Bingham, Herschel-Bulkley)
Simulate complex rheological models to predict fluid flow accurately.
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Model Fluids with Precision
Non-Newtonian flow simulations give operators direct insight into how fluid models behave under variable shear and pressure. By testing parameters in real time, teams can fine-tune pump rates and viscosity to optimize hydraulic efficiency. This minimizes pressure loss, stabilizes hole cleaning, and ensures consistent wellbore pressure management.
Core Capabilities
Yield Stress Calibration
Calibrate yield stress to ensure predictable flow.
Flow Curve Fitting
Match experimental data to predictive flow models.
Model Selection Impact
Evaluate output variation across computational model choices.
Benchmarks
Run-Time Engine Utilization
FAQ
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 applies non-Newtonian rheology (Bingham, Herschel-Bulkley) to calculate pressure losses, ECD, and flow behavior under changing rates and geometry rather than fixed coefficients. Accuracy is strongest for comparative evaluation of rheology effects on hydraulics and transport. Where fluid variability or unmeasured shear conditions dominate, results are bounded with sensitivity ranges instead of a single predicted 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.