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首页> 外文会议>2013 Fifth international conference on computational and information sciences >Application of Fuzzy Cluster Analysis on Identifying Sedimentary Microfacies
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Application of Fuzzy Cluster Analysis on Identifying Sedimentary Microfacies

机译：模糊聚类分析在沉积微相识别中的应用

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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-adaptiveness 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, and 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.
机译：由于沉积岩的多样性和复杂性，沉积环境与沉积特征之间的对应关系存在多种解决方案和模糊性。针对此特点，应用神经网络的模糊聚类分析方法，将神经网络技术的自适应性和容错性与模糊逻辑的模糊综合判别特征相结合，通过多因素模糊综合判断实现沉积微相识别。用该方法对四川盆地华Hua山地区三个钻孔128层进行了数据处理，取得了良好的效果，符合率达89.85％。结果表明，该方法对沉积微相的自动识别具有良好的适应性，提高了沉积微相的自动识别精度。

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