Igneous Rocks Recognition Based on Improved Fuzzy Neural Network

The lithology recognition of igneous rock is the foundation of the lithofacies division, the reservoir synthetic evaluation, the well pattern deployment, and the development plan establishment. This paper selected the statistical model of logging-lithology, and established the model of recognizing igneous rock using improved fuzzy neural network method. This model recognized the igneous rock lithology in the research work area. The recognition result show that this method can accurately carry on the lithology recognition in this work area. It is compared with microscope analysis lithology. Results show that it is reliable. Recognition precision is high, and practicability is better.