基于岩石归类分析的多属性基岩岩性预测及效果

Multi-attribute bedrock lithology prediction and effect based on rock classification analysis

研究区基岩储层为变质岩,岩性复杂,利用测井资料预测基岩岩性成为亟需解决的技术难题。为此,从测井岩性解释出发,对基岩岩性进行分析归类,结合多种测井曲线交会分析,寻找对不同基岩岩性响应特征敏感的测井曲线,依据交会图中不同岩性关键测井参数的变化,给出不同岩性的测井响应区域,进而区分不同的岩性。最后运用叠前、叠后多属性反演技术开展基岩岩性识别。

The bedrock reservoirs in the study area is metamorphic rock with complex lithology.Bedrock lithology prediction using logging data has become a technical problem that needs to be solved urgently.In this paper,the lithology of bedrock is analyzed and classified based on the lithology of logging interpretation.In combination with the intersection analysis of various logging curves,the logging curves sensitive to the response characteristics of different bedrock lithology are found.According to the changes of key logging parameters of different lithology in the intersection diagram,the logging response areas of different lithology are given,and then different lithology is distinguished.Finally,the pre stack and post stack multi-attribute inversion technology is used to identify bedrock lithology.