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Quality evaluation of glutenite reservoirs of intergranular-secondary dissolution pore type using a quantitative method

作     者:Juanjuan Guo Yu Huang Yanjun Wang Jianguo Pan Linjun Huang 

作者机构:Northwest Branch InstituteResearch Institute of Petroleum Exploration&DevelopmentPetroChinaLanzhouGansu730020China 

出 版 物:《Energy Geoscience》 (能源地球科学(英文))

年 卷 期:2022年第3卷第2期

页      面:126-133页

核心收录:

学科分类:081803[工学-地质工程] 08[工学] 0818[工学-地质资源与地质工程] 

基  金:the National Natural Science Foundation of China(Grant No.:41872116) early projects initiated by the China National Petroleum Corporation‘Assessment of Permian and Triassic Hydrocarbon Accumulation Conditions and Targets in the Junggar Basin’and‘Assessment of Carboniferous Hydrocarbon Accumulation Conditions and Zones in the Junggar Basin’ 

主  题:Glutenite Reservoir quality Reservoir assessment parameter Geostatistical simulation and inversion Mahu Sag Junggar basin 

摘      要:Glutenite(coarse-grained clastic)reservoirs of intergranularesecondary dissolution pore type are dominated by residual intergranular pores and secondary dissolution pores,and characterized by low porosity,low permeability,strong heterogeneity,and highly variable physical *** is difficult to conduct a quantitative quality assessment of these reservoirs while their primary control factors remain *** this paper,experimental core data and drilling,logging and seismic data are used to assess the effect of sedimentary facies on reservoir *** sedimentary facies zones are identified by analyzing the characteristics of glutenite reservoirs,which includes investigating rock components and their effects on reservoir *** matrix content and rigid particle content are identified as the primary control factors for these *** curves sensitive to reservoir quality are selected and examined to continuously characterize the physical parameters of the *** establishes a calculation model of reservoir assessment parameters through multivariate regression and determines the quantitative assessment parameter *** quality of the glutenite reservoirs is defined using conventional logging *** study also predicts the plane distribution of high-quality reservoirs through geostatistical inversion of the reservoir assessment parameters based on conventional wave impedance inversion,thus providing insight and guidance for quantitative assessment and quality prediction of glutenite reservoirs of the intergranular-secondary dissolution pore *** application of this method to well deployment based on qualitative evaluation of the glutenite reservoirs in oilfields yielded favorable results.

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