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作 者:王正 张鹏 寇子健 WANG Zheng;ZHANG Peng;KOU Zijian(Beijing Scanpower Co.,Ltd.,Beijing,100101,China;CNOOC(China)Limited D&P Department,Beijing,100010,China)
机构地区:[1]北京斯堪帕维科技有限公司,北京100101 [2]中海石油(中国)有限公司开发生产部,北京100010
出 处:《天然气与石油》2021年第6期107-113,共7页Natural Gas and Oil
基 金:中海石油(中国)有限公司重点科技项目“海上砂岩油田剩余油地质成因及精准挖潜研究”(YXKY-2019-KFSC0-01)。
摘 要:储层构型单元识别是构型表征的核心,但是对于近源快速堆积、岩性杂、砂体叠置变化快的沉积类型,构型界面识别难度大,需要研究提高识别精度的手段。以南海EN油田韩江组滑塌浊积砂体为例,以滑塌浊积扇成因机制为指导,在岩矿分析基础上,优选自然伽马曲线、密度曲线构建储层特征响应曲线Gamma-Density Comprehensive Curve(GDC),增强电测资料对构型单元的识别能力,共识别了辫状水道、水道侧翼、漫滩、水道间等构型单元,建立了浊积扇砂体构型样式和规模定量预测公式。研究方法可用于其他相似类型(如扇三角洲、水下冲积扇等)的构型研究。Architecture unit identification is the core of reservoir architecture characterization.However,it is difficult to identify the architecture interface for the sedimentary types of near-source rapid accumulation,complex lithology and rapid sand body superposition.It is necessary to study the means to improve the identification accuracy.In this paper,taking the slump turbidite sand body of Hanjiang Formation in EN Oilfield of South China Sea as an example,guided by the genetic mechanism of slump turbidite fan,on the basis of rock and mineral analysis,the Gamma-Density Comprehensive curve(GDC)is constructed by optimizing GR and DEN logging series,and the ability of electrical logging data to identify architecture units is further enhanced.The braided channel,channel flank,channel beach and interchannel units are identified,and the quantitative prediction formula of turbidite fan sand body architecture style and scale is established.The method can be used to study the architecture of other similar types(such as fan delta,underwater alluvial fan,etc.).
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