In this paper, we present an intelligent agent (ADDGEO) that assists geologists identifying rocks constituents during thin section analysis. ADDGEO is a hybrid tool using both a knowledge base and a neural net to recognize existent visual patterns in thin sections alone or with the user participation. ADDGEO was recently deployed in a Brazilian oil company presenting benefits to improve the geologists task completion. In addition, it has shown a potential use as a training tool.