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《Geological Science and Technology Information》 2017-01
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Classification of Reservoir Permeability Prediction Technology Based on Fisher Discrimination

Zhang Hairong;Yang Dong;Wu Yixiong;Zhanjiang Branch of CNOOC Ltd.;  
The deep reservoir of Yinggehai Basin is characterized by its complex lithology and high heterogeneity.This results in a poor porosity-permeability relationship,leading to the failure in using logging data for reservoir permeability evaluation technology with precision.To effectively solve the problem of fine evaluation of reservoir permeability in the study area,this study uses core analysis data of cored interval,well logging data,and selects the flow unit index FZI value for reservoir classification.Hence,models of fine permeability evaluation can be built for various types of reservoir.The reservoir logging attribute variables are optimized to reflect the change characteristics,and a new method is established for the discrimination standard to classify reservoirs by using Fisher discriminant technology for training of each type of reservoir.Based on the reservoir classification,the method is applied in DF13 gas field of Yinggehai Basin.The practical application shows that the accuracy of reservoir permeability prediction has been significantly improved compared with those made with the conventional statistical methods.It then proves suitable for the evaluating the mid-deep to deep formations with wireline log data,and the method should be an effective way to evaluate reservoir permeability in the study area.
【Fund】: 国家“十三五”重大专项子课题“莺琼盆地高温高压天然气富集规律与勘探开发关键技术”(2016ZX05024-005)
【CateGory Index】: P618.13;P631.81
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