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《Natural Gas Industry》 2013-08
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Porosity estimation of tight reservoirs based on petrophysical facies classification: A case study from the east area of the Sulige Gas Field,Ordos Basin

Song Ziqi;Jing Cheng;Pang Yudong;Tian Xin;Zhang Jinghao;School of Petroleum Engineering,Xi'an Shiyou University;School of Petroleum Engineering,China University of Petroleum-East China;School of Earth Science and Engineering,Xi'an Shiyou University;  
Tight reservoirs in the Sulige Gas Field,Ordos Basin,are influenced by multi-stage deposits with different types,diagenesis and structures,and are characterized by small pore space,complex pore types and structures and complex logging responses.In view of this,we analyzed the classification evaluation system of petrophysical facies of tight reservoirs,and proposed a technical solution to the estimation of tight reservoir porosity via petrophysical facies classification.Reservoir parameter interpretation models were built for different types of petrophysical facies by using the available logging,core and formation test data obtained from the tight reservoirs in the study area.During fitting of data point distribution obtained from the calibration of logging interpretation models with classification core data,the classification models showed relatively clustered distribution trend and relatively good linear relationship.Especially when effective porosity parameters were estimated by using the comprehensive fitting values of classification density models and those of interval transit time porosity parameter models separately,the features and differences of lithology,physical property,pore type and structure,as well as logging responses were highlighted,and the accuracy of porosity estimation of tight reservoirs was significantly improved.The problems of low signal-to-noise ratio and low resolution of tight reservoirs are successfully solved.Field application shows that classification modeling of tight reservoirs can convert a heterogeneous non-linear problem to a relatively homogeneous and linear one,thus providing an effective method for building tight reservoir parameter models of high quality.
【Fund】: 中国石油天然气股份有限公司科学研究与技术开发项目(编号:2010E-2304);; 国家自然科学基金项目“变形介质复杂储层应力敏感性的岩石流变学机理及动态模型”(编号:51104119)
【CateGory Index】: P618.13
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