页岩孔隙结构表征方法新探索

doi:10.3969/j.issn.1673-8926.2017.02.015

岩性油气藏 ›› 2017, Vol. 29 ›› Issue (2): 125–130.doi: 10.3969/j.issn.1673-8926.2017.02.015

页岩孔隙结构表征方法新探索

孙文峰¹, 李玮¹, 董智煜², 闫铁¹, 李悦¹, 李世昌¹

1. 东北石油大学石油工程学院, 黑龙江大庆 163318;
2. 中国石油大庆油田有限责任公司采油三厂, 黑龙江大庆 163318

收稿日期:2016-10-08 修回日期:2016-11-25 出版日期:2017-03-21 发布日期:2017-03-21
作者简介:孙文峰(1983-),男,东北石油大学在读博士研究生,研究方向为非常规油气高效开发理论与技术。地址:(163318)黑龙江省大庆市东北石油大学石油工程学院。E-mail:sunwen565656@163.com。
基金资助:
国家自然科学基金项目“页岩油气高效开发基础理论研究”（编号：51490650）和“十三五”国家重大科技专项“大型油气田及煤层气开发”（编号：2016ZX05020-002）联合资助

A new approach to the characterization of shale pore structure

SUN Wenfeng¹, LIWei¹, DONG Zhiyi², YAN Tie¹, LI Yue¹, LI Shichang¹

1. College of Petroleum Engineering, Northeast Petroleum University, Daqing 163318, Heilongjiang, China;
2. No. 3 Oil Production Plant, PetroChina Daqing Oilfield Com., Ltd., Daqing 163318, Heilongjiang, China

Received:2016-10-08 Revised:2016-11-25 Online:2017-03-21 Published:2017-03-21

摘要/Abstract

摘要： 孔隙结构对页岩储层的储集性能、渗流能力和页岩气产能具有十分重要的影响，是页岩储层评价的核心内容。为全面、直观地展现页岩储层孔隙结构的空间特征，选取川南龙马溪组页岩为研究对象，先运用MATLAB自编程序识别扫描电镜（SEM）二值图像的方法，测得不同孔隙面积与相应的面孔率数值，拟合得到了岩样的面孔率函数；再利用积分几何理论建立了面孔率函数与孔隙度函数之间的换算模型，计算得到了岩样的孔隙度与孔径之间的函数关系，并据此对龙马溪组页岩孔隙结构进行了定量分析。结果表明：川南龙马溪组页岩岩样的孔径主要为1～50 nm，孔隙度峰值出现在孔径为13 nm处，中孔是孔隙的主体，占总孔隙空间的93.7%。与高压压汞实验和低温氮气吸附实验结果比较，SEM 图像观测法所得结果可靠，验证了该方法的可行性。该方法不仅适用于页岩储层，也适用于其他致密储层。

Abstract: The pore structure is the core content of shale reservoir evaluation,which has important influence on the reservoir performance,seepage capacity and shale gas productivity. In order to show the spatial characteristics of pore structure in shale reservoir comprehensively and visually,MATLAB programming was used to identify scanning electronic microscope(SEM)binary image of samples from Longmaxi shale in southern Sichuan Basin,by which different pore area and corresponding plane porosity were obtained,and the plane porosity function was fitted. Then,the conversion model between the 2D porosity function and the porosity function was established by applying the integral geometry theory. The function relationship between the porosity and the pore size was calculated and the shale pore structure of the Longmaxi Formation was analyzed quantitatively. The results show that the pore size ranges from 1 to 50 nm,13 nm corresponds to the MAX porosity,the volume fraction of mesopores is the most(93.7%). Compared with the results of high pressure mercury intrusion and low temperature nitrogen adsorption experiments,the result obtained by SEM image method is reliable,which verifies the feasibility of this method. The method is applicable for shale and tight reservoirs.

中图分类号:

TE132.2

孙文峰, 李玮, 董智煜, 闫铁, 李悦, 李世昌. 页岩孔隙结构表征方法新探索[J]. 岩性油气藏, 2017, 29(2): 125–130.

SUN Wenfeng, LIWei, DONG Zhiyi, YAN Tie, LI Yue, LI Shichang. A new approach to the characterization of shale pore structure[J]. Lithologic Reservoirs, 2017, 29(2): 125–130.

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页岩孔隙结构表征方法新探索

A new approach to the characterization of shale pore structure

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