摘要
砂砾岩储层具有强烈的非均质性和复杂的孔隙结构,导致其电阻率响应难以准确反映含油性,而传统的两组分三维数字岩心建模和电阻率数值模拟方法均不能表征砂砾岩多组分和多尺度孔隙空间,不能准确模拟砂砾岩的电阻率。以东营凹陷北部陡坡带古近系沙四段上亚段深层砂砾岩为研究目标,以盐家油田盐22-22井柱塞岩样为研究对象,开展常规岩心分析、核磁共振(NMR)测试、X射线计算机层析(X-CT)扫描、拼接扫描电镜(MAPS)测试和扫描电镜矿物定量评价(QEMSCAN),建立砂砾岩多组分三维数字岩心,采用电阻率数值模拟方法,分析储层参数对砂砾岩电阻率特性的影响规律。结果表明:①采用X-CT扫描标准柱塞岩样,采用多阈值分割区分主要矿物组分,建立砂砾岩多组分三维数字岩心,主要矿物组分与样品X射线衍射(XRD)测试结果吻合,但受到扫描分辨率的限制,识别孔隙度远低于岩心气测孔隙度。②选用100和10 nm分辨率的MAPS测试建立的二维图像计算主要矿物组分微孔隙率,与三维数字岩心中矿物组分含量结合,计算砂砾岩多组分三维数字岩心的总孔隙度,与岩心气测孔隙度基本吻合。③电阻率数值模拟结果表明砾石和黏土矿物含量对砂砾岩电阻率的影响并非单调关系,砾石含量的影响与样品分选有关,黏土矿物含量的影响与黏土矿物类型和地层水矿化度有关。
Due to the strong non-homogeneity and complex pore structure of glutenite reservoirs,it isn’t easy to accurately reflect the oil content of the reservoir through resistivity response.However,the traditional two-component three-dimensional(3D)digital core modeling and numerical simulation method of resistivity fail to characterize the multi-component and multi-scale pore space and accurately simulate the resistivity of the glutenite.The deep glutenites of the upper Submember of the 4^(th)Member of the Paleogene Eocene Shahejie Formation(Es_(4)^(U))in the northern steep slope zone of Dongying Sag were studied,as well as the plunger samples of Well Yan 22-22 in Yanjia Oilfield.The conventional core analysis,nuclear magnetic resonance(NMR)test,X-ray computerized tomography(X-CT)scanning,modular automated processing system(MAPS)test,and quantitative evaluation of minerals by scanning electron microscopy(QEMSCAN)were performed to establish a multi-component 3D digital core of glutenite.The numerical simulation method of resistivity was adopted to analyze the influence of reservoir parameters on the resistivity characteristics of the glutenite.The results show that①X-CT scanning is used to scan the standard plunger samples,and the multi-threshold segmentation is performed to distinguish the main mineral components to establish a multi-component 3D digital core of the glutenite.The main components match with the results of X-ray diffraction(XRD)tests of the samples,but the identified porosity is much lower than the gas porosity measured of the core due to the limitation of the scanning resolution.②The two-dimensional(2D)images established by the MAPS test with 100 nm and 10 nm resolution are selected to calculate the microporosity of the main mineral components,which is combined with the component content of the 3D digital core to calculate the total porosity of the multi-component 3D digital core of the glutenite,which matches with the gas porosity measured of the core.③The numerical simulation results of resistivity show that the influence of gravel and clay mineral content on the resistivity of glutenite is not monotonous.The influence of gravel content is related to sample sorting,and that of clay mineral content is related to the type of clay and the salinity of the formation water.
作者
王敏
WANG Min(Exploration and Development Research Institute,Shengli Oilfield Company,SINOPEC,Dongying City,Shandong Province,257015,China;State key Laboratory of Shale Oil and Gas Enrichment Mechanisms and Effective Development,Beijing City,102206,China)
出处
《油气地质与采收率》
CAS
CSCD
北大核心
2024年第6期33-44,共12页
Petroleum Geology and Recovery Efficiency
基金
中国石化前瞻基础课题“陆相页岩电性控制因素及导电机理研究”(P24184)
中国石化科技攻关项目“济阳坳陷缓坡带稠油发育区潜力评价及目标优选”(P24018)。
关键词
砂砾岩储层
X-CT扫描
MAPS测试
高精度数字岩心
电性
数值模拟
东营凹陷
glutenite reservoir
X-CT scanning
MAPS test
high-precision digital core
electrical property
numerical simulation
Dongying Sag