Knowledge Representation Model and Decision Support System for Enhanced Oil Recovery Methods

Abstract

In this paper we develop decision support system for enhanced oil recovery methods selection. Fuzzy production rules were suggested to describe expert's knowledge. We use various types of constraints in fuzzy production rules, and expert estimates an importance rate of these constraints. We suggest fuzzy inference method for decision support system with the proposed fuzzy production rules. Fuzzy inference method is capable to work in conditions of gaps in the source data. We used the decision support system to select enhanced oil recovery methods on some oil fields.