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渤海C油田东营组高阻水层成因分析及识别方法研究 被引量:6

Genetic Analysis and Identification Method for High Resistivity Water Layer in the Dongying Formation of Bohai C Oilfield
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摘要 渤海C油田东营组沉积特征及成岩作用复杂,物性变化大,油气显示活跃,存在大量录井显示好的高阻水层,流体性质判别难度大。结合录井及岩心、岩矿等资料进行了综合分析,研究认为:以高岭石为主的粘土矿物含量高及残余油饱和度高是形成高阻水层的两个主要因素。在成因分析的基础上,提出了流体替换法和深电阻率与密度曲线交会法快速识别高阻水层。实际资料应用表明,归一化后深电阻率与密度差值ΔR_(d)-Δ_(ρ)是C油田东营组油藏油、水层识别中的敏感参数,建立ΔR_(d)-Δ_(ρ)与深电阻率R_(d)的交会图版,油层主要分布在ΔR_(d)-Δ_(ρ)大于2.3的区域。研究方法对于C油田乃至渤海中深层测井综合评价具有很好的指导作用。 The sedimentary characteristics and diagenesis of the Dongying Formation in the Bohai C oilfield are complex,and the physical properties change greatly.Evidence for oil and gas is common.Because are a large number of high-resistivity water layers as shown in logging data,it is difficult to identify the fluid types.The comprehensive analyses of well-logging results,core,rock and mineral data reveal that the high content of clay minerals,dominantly kaolinite,and high residual oil saturation are the two main factors for the high resistivity water layers.Based on the analysis of the genesis,we propose that the fluid replacement method and the intersection of deep resistivity and density curves can be used to quickly identify high-resistivity water layers.The application of the methods with measurement data shows that the difference between normalized deep resistivity and density is a sensitive parameter for identifying oil and water layer,according to the crossplot of ΔR_(d)-Δ_(ρ) vs.R_(d),the oil layer mainly occurs in regions where ΔR_(d)-Δ_(ρ) is greater than 2.3.This method could guide comprehensive evaluation of well logging in C oilfield and even in the medium-deep reservoirs of Bohai area.
作者 王淼 李瑞娟 熊镭 李志愿 关叶钦 WANG Miao;LI Ruijuan;XIONG Lei;LI Zhiyuan;GUAN Yeqin(Tianjin Branch of CNOOC Ltd.,Tianjin 300459,China)
出处 《高校地质学报》 CAS CSCD 北大核心 2021年第5期547-553,共7页 Geological Journal of China Universities
基金 中海石油(中国)有限公司重点项目(CNOOC-KJ135 ZDX M36TJ03TJ) 中海石油(中国)有限公司天津分公司科研项目(CCL2018TJTZDST0434)联合资助。
关键词 东营组 高阻水层 高岭石 成因分析 识别 Dongying Formation high-resistivity water layers kaolinite cenetic analysis identification method
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