The application of fuzzy cluster analysis on identifying sedimentary microfacies
There are multiple solutions and fuzziness of the corresponding relationship between sedimentary environment and depositional features due to diversity and complexity of the sedimentary rock.Against this characteristic, the neural network fuzzy clustering analysis method was applied, which combined self-adaptive and fault tolerance of neural network technology with fuzzy synthetic discriminant features of fuzzy logic, for achieving sedimentary microfacies identification with multi-factor fuzzy comprehensive judgement.This method was used to process the data from 128 layers of three boreholes drilled in Huayingshan region of Sichuan Basin, which achieved good results with the coincidence rate of 89.85%.The result showed that the method had good adaptability for automatic identification of sedimentary microfacies and increased automatic identification accuracy of sedimentary microfacies.
sedimentary microfacies features of sedimentary rock fuzzy clustering fuzzy logic
Li Guorong Liao Taiping Hu Jingjing Zhang Furong
Chengdu University of Technology Chengdu, China Chongqing University of Science and Technology Chongqing, China Research Institute of Petroleum Exploration & Development, PetroChina Beijing, China
国内会议
重庆
英文
15-18
2013-05-01（万方平台首次上网日期，不代表论文的发表时间）