Well testing is an effective tool for characterizing hydrocarbon reservoirs. Although the forward solution of the well testing theory is well advanced, the corresponding inverse-solution protocols are not well established, especially for complex domains. A new inverse-solution method uses artificial neural network (ANN) technology to analyze pressure transient data from an anisotropic faulted reservoir. The primary goal of this work was to test the capability of the ANN methodology as an engineering tool in pressure-transient analysis.
All Science Journal Classification (ASJC) codes
- Fuel Technology
- Industrial relations
- Energy Engineering and Power Technology
- Strategy and Management