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葡南地区及敖包塔油田边部葡萄花油层低阻成因机理及综合识别
引用本文:郑羽.葡南地区及敖包塔油田边部葡萄花油层低阻成因机理及综合识别[J].大庆石油地质与开发,2017,36(5).
作者姓名:郑羽
作者单位:大庆油田有限责任公司第七采油厂,黑龙江大庆,163517
摘    要:葡南地区及敖包塔油田边部葡萄花油层属于构造—岩性油藏。储层岩性细、泥质含量高、孔喉结构复杂,导致储层物性差、孔隙和喉道小、分布不均匀,为低阻油层的发育提供了良好的条件。通过详细分析葡南地区及敖包塔油田边部葡萄花油层低阻形成的微观原因,得出高束缚水饱和度、黏土矿物含量及分布形式是造成该区油层低阻的微观主控因素。同时通过低阻成因分析,提取了该区低阻油层的特征参数,建立了低阻油层特征参数识别图版,为葡南地区及敖包塔油田边部葡萄花油层低阻识别提供了理论基础。

关 键 词:低阻油层  主控因素  综合识别

LOW-RESISTIVITY GENERATING MECHANISM AND COMPREHENSIVE RECOGNITION OF PUTAOHUA OIL RESERVOIRS IN SOUTH PUTAOHUA AND THE MARGIN OF AOBAOTA OILFIELD
ZHENG Yu.LOW-RESISTIVITY GENERATING MECHANISM AND COMPREHENSIVE RECOGNITION OF PUTAOHUA OIL RESERVOIRS IN SOUTH PUTAOHUA AND THE MARGIN OF AOBAOTA OILFIELD[J].Petroleum Geology & Oilfield Development in Daqing,2017,36(5).
Authors:ZHENG Yu
Abstract:Putaohua oil reservoirs in Putaohua area and the margin of Aobaota Oilfield belong to the structural-lithologic oil reservoirs.The reservoirs are characterized by fine lithology,high shale content,complex pore-throat structure,which lead to poor physical properties,small pore and throat and uneven distribution,and moreover provide much better conditions for the development of the low-resistivity oil reservoir.Through minutely analyses of the microcosmic course of the low-resistivity oil reservoir in the areas stated above,the following conclusions were resulted from the main controlling factors of the low-resistivity oil reservoir:high irreducible water saturation,shale content and distribution of the clay minerals.Meanwhile,based on the analyses of the main factors of the low resistivity oil reservoir,the characterized parameters of the low-resistivity oil reservoir in those areas were extracted,and furthermore the identifying charts of the characterized parameters of the low resistivity oil reservoir were built.The achievements provide the theoretical basis for the identification of the low-resistivity oil reservoir in Putaohua oil reservoirs of South Putaohua and the margin of Aobaota Oilfield.
Keywords:low-resistivity oil reservoir/layer  main controlling factor  comprehensive identification
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