The application of fuzzy cluster analysis on identifying sedimentary microfacies

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• 作者：Li GuorongLiao TaipingHu JingjingZhang Furong
• 会议时间：2013-05-01
• 关键词：sedimentary microfacies ; features of sedimentary rock ; fuzzy clustering ; fuzzy logic
• 作者单位：Li Guorong(Chengdu University of Technology Chengdu, China)Liao Taiping,Zhang Furong(Chongqing University of Science and Technology Chongqing, China)Hu Jingjing(Research Institute of Petroleum Exploration & Development, PetroChina Beijing, China)
• 母体文献：第二届全国特殊气藏开发技术研讨会论文集
• 会议名称：第二届全国特殊气藏开发技术研讨会
• 会议地点：重庆
• 主办单位：重庆市科学技术协会
• 语种：chi

摘要

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.