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A combination of principal component and model - based cluster analysis is used to characterize the electrofacies.
采用主成分与基于模型的聚类分析组合来表征电相.
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First, we classify the well log data into electrofacies based on the similarity of their response.
首先, 根据响应相似性将测井数据划分为若干电相.
Secondly, we apply a non - parametric regression technique to predict permeability using well logs within each electrofacies.
其次, 运用 非 参数回归技术,通过每个电相范围的测井曲线来预测渗透率.
电相???
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