基于模糊聚类算法的复杂岩性识别

Complex lithologic identification based on fuzzy clustering algorithm

针对复杂岩性分类中存在的模糊性,提出了基于模糊聚类算法的复杂岩性判别方法.考虑储层岩性特征参数在不同岩性类别中取值的交遇性和相同岩性对应很大的取值范围,在传统聚类算法中引入岩层样本对岩性类别的隶属度,同时按分类特征参数的重要程度做加权处理来构成综合判别指标,并将专家经验和反映岩性变化的定量指标相结合划分岩性.采用该方法处理了川东油田113个地层样本,总符合率达84.1%.

Aiming at the fuzzy character that exists in the complex lithologic classification, a kind of complex lithologic differentiating method based on the fuzzy clustering algorithm is proposed in this paper. Considering the adopting value's meeting character of reservoir lithologic character parameter in the different lithologic sort and the same lithology is corresponding to great value scope, the subjection degree between the rocks stratum stylebook and lithologic sort is introduced in the traditional clustering algorithm. At the same time added weights are managed according to the important degree of classification character parameter to construct the integrate differentiate guideline, the expert knowledge and ration guideline reflecting the lithologic change is integrated. By means of this method, 113 stratum stylebooks of Chuanzhong oil field is processed, the overall validity ratio comes to 84.1%.