Optimize density and viscosity to maintain wellbore stability and efficiency.
Request Demo >Density & rheology simulations correlate mud properties under varying pressures and shear rates. Engineers can fine-tune formulation to maintain flow stability across conditions. The outcome is optimized ECD control, improved drilling precision, and extended fluid life.
Density-Rheology Correlation
Correlate density and viscosity for flow stability.
Pressure Vs. Flow Mapping
Correlate hydraulic pressure with flow rate response.
Optimization Envelope
Define operating boundaries for peak system efficiency.
LIVE STATE EVOLUTION
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.
The model optimizes fluid density and viscosity using real-time pressure response, rheology, and operational constraints rather than static mud programs. Accuracy is strongest for evaluating trade-offs between pressure margins, transport efficiency, and operational risk as conditions change. Where unmeasured losses or transient effects dominate, results are bounded with sensitivity ranges instead of a single optimal 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.