There are multiple solutions and fuzziness of the corresponding relationship between sedimentary environment and depositional features due to diversity and complexity of the sedimentary *** this characteristic,the neu...
详细信息
There are multiple solutions and fuzziness of the corresponding relationship between sedimentary environment and depositional features due to diversity and complexity of the sedimentary *** 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 *** 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.
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