Pump Schedules & Step Tests
Validate pump ramps and tune efficiency with live pressure response.
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Maximize Efficiency Without Compromise
Simulated pump scheduling allows operators to test pressure response and flow correlation before field operations. Optimized rate schedules reduce mechanical stress, improve pressure stability, and enhance surface-downhole coordination. The result is smoother circulation, extended pump life, and consistent drilling efficiency.
Core Capabilities
Ramp Profile Optimization
Refine flow rate ramps for stable pressure transitions.
Step-Test Diagnostics
Analyze step-rate test data for formation insight.
Flow and Pressure Correlation
Relate hydraulic losses to flow performance deviations.
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 evaluates pump schedules and step tests by simulating rate changes, pressure response, and system compliance rather than static charts. Accuracy is strongest for identifying pressure limits, fracture response, and optimal operating ranges as conditions change. Where formation or equipment response is uncertain, outcomes are bounded with sensitivity ranges instead of a single prescribed result.
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.