| 渤海湾盆地南堡地区碳酸盐岩内幕储层特征及测井识别 |
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| 引用本文： | 师政,陆建林,王晔磊.渤海湾盆地南堡地区碳酸盐岩内幕储层特征及测井识别[J].世界地质,2018,37(4):1187-1196. |
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| 作者姓名： | 师政 陆建林 王晔磊 |
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| 作者单位： | 1. 同济大学海洋与地球科学学院, 上海 200092;2. 中国石化石油勘探开发研究院无锡石油地质研究所, 江苏 无锡 214126;3. 中国石油大学(华东)地球科学与技术学院, 山东 青岛 266580 |
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| 基金项目： | 国家科技重大专项（2017ZX05005-001-004）. |
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| 摘 要： | 应用岩芯和成像测井资料对南堡地区碳酸盐岩潜山进行内幕储层的精细标定,在标定段内系统分析储层特征并划分储层类型,通过优选出的敏感测井参数建立识别函数,最终实现全井段内各类内幕储层的精细识别。结果表明:碳酸盐岩潜山内发育多套低孔-低渗的内幕储层。储层发育粒内溶孔、粒间溶孔、构造缝和溶蚀扩大缝等多种储集空间类型。依据储层评价标准将内幕储层划分为Ⅰ类、Ⅱ类和Ⅲ类。优选出内幕储层段的敏感测井参数包括密度值、浅侧向、双孔隙度差和双侧向电导率绝对差等4种。选取以上4个测井参数建立归一化加权识别函数,当函数值 0. 32时,解释为内幕储层段。经过预留的数据验证,该方法的识别平均准确率达88%,其中Ⅰ类储层识别精度最高,Ⅱ类储层次之,Ⅲ类储层再次。
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| 关 键 词： | 南堡地区 内幕储层 储层特征 测井识别 |
| 收稿时间： | 2018-03-06 |
| 修稿时间： | 2018-07-15 |
Characteristics and logging identification of carbonate inner reservoirs in Nanpu area,Bohai Bay Basin |
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| SHI Zheng,LU Jian-lin,WANG Ye-lei.Characteristics and logging identification of carbonate inner reservoirs in Nanpu area,Bohai Bay Basin[J].World Geology,2018,37(4):1187-1196. |
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| Authors: | SHI Zheng LU Jian-lin WANG Ye-lei |
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| Institution: | 1. School of Ocean and Earth Science, Tongji University, Shanghai 200092, China;2. Wuxi Institute of Petroleum Geology, Petroleum Exploration and production Institute of SINOPEC, Wuxi 214126, Jiangsu, China;3. School of Geosciences, China University of Petroleum, Qingdao 266580, Shandong, China |
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| Abstract: | Identifying carbonate inner reservoirs of buried hill in Nanpu area using core and FMI data, the authors analyze the reservoir characteristics systematically and classify the reservoirs into different types. By optimizing sensitive log parameter, the authors establish identification function to identify all kinds of inner reservoirs in whole well. The result shows that there are many carbonate inner reservoirs in Nanpu area, which are characterized by low porosity and low permeability. The main reservoir spaces consist of intragranular pore, intergranular pore, structural crack and dissolution seam. According to standards of reservoir evaluation, the inner reservoirs are divided into three types:Ⅰ,Ⅱ and Ⅲ. Four sensitive logging parameters are selected, namely density, RLLS, CNL-φAC and∣1/RLLS-1/RLLD∣. The normalized weighted identification function is established using the four logging parameters. When the function value is more than 0.32, it is interpreted as inner reservoirs. Verificated by reserved data, the average accuracy of identification is 88%, of which type Ⅰ reservoir is the highest, followed by the type Ⅱ, with type Ⅲ as the lowest. |
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| Keywords: | Nanpu area inner reservoirs reservoir characteristics log identification |
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