Meana Petro
SR-12IntermediateWave 2AIDomain

Automated Well Test Interpretation

In one sentence

Reads pressure build-up data, proposes the reservoir model behind it, and flags the tests that are not interpretable.

The problem

Well tests are run, the data is stored, and interpretation waits for a specialist who has forty other tests queued. By the time it is interpreted the operating decision has been made without it.

How it works

Derivative analysis is automated: noise filtering, flow-regime identification, and model recognition against a library of analytical responses. Candidate models are ranked with their fitted parameters and residuals, and a specialist confirms rather than starts from a blank screen.

Data required

  • High-resolution downhole or converted surface pressure and rate history
  • Wellbore and completion geometry
  • Fluid PVT properties
  • Reservoir thickness and porosity estimates

What you get

  • Ranked candidate models with permeability, skin and boundary parameters
  • Flow-regime diagnostic plot with automatic annotation
  • Test-quality flag for tests too noisy or too short to interpret

What it cannot do

Automated interpretation is non-unique in exactly the places manual interpretation is: a dual-porosity response and a composite response can fit the same data. The system presents the alternatives with their evidence rather than choosing, and a specialist still makes the call.

Every capability page states a real limitation. If a vendor cannot tell you where their product stops, you are not being told the truth about where it starts.

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