| 碳酸盐岩储层孔隙结构对电阻率的影响研究 |
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| 引用本文： | 田瀚,王贵文,王克文,冯庆付,武宏亮,冯周.碳酸盐岩储层孔隙结构对电阻率的影响研究[J].地球物理学报,1954,63(11):4232-4243. |
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| 作者姓名： | 田瀚 王贵文 王克文 冯庆付 武宏亮 冯周 |
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| 作者单位： | 1. 中国石油大学(北京)地球科学学院, 北京 102249;2. 中国石油杭州地质研究院, 杭州 310023;3. 中国石油勘探开发研究院, 北京 100083 |
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| 基金项目： | 国家科技重大专项（2017ZX05008-005），中石油科技部重点项目（2018A-0105）资助. |
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| 摘 要： | 碳酸盐岩储层孔隙类型多样，各种孔隙的尺寸变化范围可以跨越几个数量级，孔隙结构非常复杂，这种复杂孔隙结构和不均匀分布的多元孔隙空间使得储层电性呈现明显非阿尔奇特性.为了了解影响电阻率变化的控制因素，本次研究选取中三叠世雷口坡组的8块全直径碳酸盐岩岩样，开展了核磁共振、岩电实验、孔渗实验、压汞实验及薄片等实验，并利用数字图像分析法定量分析了孔隙结构特征.研究结果表明：①孔隙度是影响电阻率高低的重要因素，但并非唯一因素，除孔隙度以外，孔隙尺寸和数量、孔隙网络复杂程度远比吼道大小对电阻率的影响大；②在孔隙度一定的条件下，胶结指数m随储层中孤立大孔隙占比的增多而增大，当孔隙度增大到一定程度后，胶结指数m又随大孔隙占比的增多而减小，微裂缝起重要沟通作用；③在给定孔隙度时，以简单大孔隙为主的岩样表现为胶结指数m值较大，而以复杂孔隙网络、细小孔隙为主的岩样表现为胶结指数m值较小，具分散、孤立大孔隙的岩样，胶结指数m值最高；④依据孔隙几何参数与电阻率和胶结指数之间的关系，可以利用测井资料间接判别储层类型，从而提高储层有效性和含水饱和度评价精度.
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| 关 键 词： | 碳酸盐岩储层 全直径岩样 胶结指数 孔隙结构 电阻率测井 |
| 收稿时间： | 2020-03-23 |
Study on the effect of pore structure on resistivity of carbonate reservoirs |
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| TIAN Han,WANG GuiWen,WANG KeWen,FENG QingFu,WU HongLiang,FENG Zhou.Study on the effect of pore structure on resistivity of carbonate reservoirs[J].Chinese Journal of Geophysics,1954,63(11):4232-4243. |
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| Authors: | TIAN Han WANG GuiWen WANG KeWen FENG QingFu WU HongLiang FENG Zhou |
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| Institution: | 1. College of Geosciences, China University of Petroleum(Beijing), Beijing 102249, China;2. Petrochina Hangzhou Research Institute of Geology, Hangzhou 310023, China;3. Research Institute of Petroleum Exploration&Development, Beijing 100083, China |
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| Abstract: | The pore types of carbonate reservoirs are diverse, the size of various pores can span several orders of magnitude, and the pore structure is very complex. Such complicated pore structure and pore space heterogeneous distribution of carbonate rock results in the non-Archie phenomenon. In order to understand the control factors affecting the resistivity, 8 full-diameter carbonate rock samples from the middle Triassic Leikoupo Formation were collected, and a series of experiments were carried out, including nuclear magnetic resonance (NMR), petroelectric, porosity and permeability, mercury injection and thin section observation. The results show that ① porosity is an important factor affecting the resistivity, but it is not the only factor. In addition to porosity, the size and number of pores and the complexity of the pore network have a greater impact on the resistivity than the throat size. ② With a certain porosity, the cementation component m increases with the increase of the proportion of isolated macropores. When the porosity increases to a certain extent, the cementation component m decreases with the increase of the proportion of macropores, and microfractures play an important role in intercommunication. ③ In a given porosity, rock samples with simple macropore have a big cementation component m value, while rock samples with complex pore network and small pores have a small cementation component m value, and that of the rock samples with dispersed and isolated macropores is the largest. ④ Based on the relationship between pore geometry parameters, resistivity and cementation component m, the logging data can be used to indirectly identify the reservoir types, so as to improve evaluation accuracy on the reservoir effectiveness and water saturation. |
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| Keywords: | Carbonate reservoir Whole core Cementation exponent Pore structure Resistivity log |
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