Using an expert system to identify a well-test-interpretation model
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The authors present a new approach that uses artificial intelligence to identify the well-test-interpretation model that best describes the behavior of a reservoir. This knowledge-based (expert) system is composed of carefully extracted rules and facts for buildup and drawdown test analysis. The rules simulate the reasoning process used by a human expert to identify the appropriate interpretation model for a well test. The elaborate control needed to simulate a human's reasoning process was simplified with a blackboard architecture. The application of the expert system has been explained by analyzing a field example.
JPT, Journal of Petroleum Technology
author list (cited authors)
Al-Kaabl, A., McVay, D. A., & Lee, W. J.
complete list of authors
Al-Kaabl, AAU||McVay, DA||Lee, WJ