Identification of igneous rock lithology based on hierarchical decomposition,principal component analysis and Gaussian mixture model:Taking a case study of buried hills in Huizhou 26 sub-sag
Igneous rocks have complex hydrocarbon accumulation laws.Due to the complexity and diversity of chemical composition and structure,and strong heterogeneity,it is difficult to accurately identify lithology by using conventional lithologic identification methods.Referring to the hierarchical decomposition method,taking a case study of buried hills in Huizhou 26 sub-sag,a classification principle of igneous rock lithology logging is proposed according to the hierarchical decomposition method.The classification level of lithology is determined by using the geological classification principle of igneous rock and logging response characteristics.Considering the geological classification principle of igneous rock and logging response characteristics,which can get the level of lithologic identification.Based on this principle,the sensitive parameters of lithologic identification are quantitatively optimized at each level to establish the optimal level of lithologic identification in the study area.On the basis of defining the preferred level of lithological identification,principal component analysis(PCA)and Gaussian mixture model(GMM)are used step by step to distinguish lithology and determine its calculation function.Through the establishment of a classification and optimization lithology identification model,the overall lithology can be finally distinguished.Using this method,the correct identification rates of diabase and diorite are 87.31％and 84.32％,while the correct identification rates of diabase and diorite without classification and optimization are 60.45％and 54.88％,and the correct identification rates of lithology without classification and optimization are 69.61％and 67.04％.The results show that the classification optimization method can effectively improve the identification accuracy of complex lithology in the study area.This method provides a new idea for improving the accuracy of igneous rock lithology identification,and also provides a reference for accurate identification of ancient buried hill igneous rock lithology in the study area.
igneous rocklithology identificationhierarchical decomposition methodprincipal component analysisgaussian mixture model
万方数据
