Using an expert system to identify a well-test-interpretation model Academic Article uri icon


  • 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.

published proceedings

  • 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

publication date

  • May 1990