The difficult part lives between disciplines
Reservoir, well, network, and facility models may each be technically sound while the combined forecast is not. The risk sits in boundaries: pressure and rate handoffs, timing, constraints, fluid assumptions, control logic, and inconsistent objectives.
Integration should therefore begin with the decision and the interfaces, not with a software connection.
- Define the asset boundary
- Record which model owns each variable
- Align units, timing, constraints, and control logic
Quality is purpose-specific
A model built for strategic planning does not automatically support a daily operating decision. The required calibration, detail, runtime, and review process depend on how the answer will be used.
Model QA should test fitness for that purpose rather than applying one generic checklist.
- Decision horizon and resolution
- Acceptable uncertainty and update frequency
- Required users, approvals, and operating response
Design the update loop
The first forecast is only part of the system. New tests, production events, maintenance constraints, and routing changes will alter the evidence.
A usable workflow states when the model is updated, which data triggers review, how changes are approved, and who owns the result.
- Data and event triggers
- Version and assumption control
- Handover, maintenance, and recurring review