Construct a Lithology Identification Model Based on Information Granulation

摘要

In this study,we propose a lithology identification model based on Information Granulation (IG).As a hybrid of the artificial neural network and the fuzzy clustering,the model integrates both advantages.Using this model,the author constructs a lithology inference system and it has achieved an excellent result in well-logging data analyzing of the Chinese Continental Scientific Drilling (CCSD) project.