Using Case-based Reasoning in a System That Supports Petrographic Analysis

This paper presents an intelligent database system to support petrographic analysis. The main goal of the research is to solve problems in knowledge acquisition and representation to develop efficient systems in domains with weak theory. The proposition of this work is to use case-based reasoning technology coupled with a database system to develop systems that store and manage the information and support expert tasks. The system manages petrographic information and helps beginners to describe and interpret reservoir sandstone occurrences. The paper evaluates the use of cases to represent knowledge in a geological domain, describes the knowledge acquisition techniques used in the construction of the knowledge base and the decisions and problems in system development.