The Heavy Mineral Analysis Based on Immune Self-organizing Neural Network

The heavy mineral analysis is the important content of the oil and gas exploration in sedimentary basin,and the provenance data can be clustered according to the theory of sedimentary heavy mineral composition similar to its characteristic value. But self-organizing neural network can not determine its own clustering number, thus we introduce the immune algorithm, which can better adjust the number of competitive layer neurons and the size of the adjustment of the neighborhood. Classify the provenance data with immune self-organizing neural network, and compare the result of clustering with sedimentary facies, which confirmes the reliability of the method.