Using an expert system to identify a well-test-interpretation model

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.

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