Quantitative characterization and characteristic analysis of pore structure of shale-gas reservoir in the Sichuan Basin, China

Quantitative characterization and characteristic analysis of pore structure of shale-gas reservoir in the Sichuan Basin, China
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四川盆地页岩气储层孔隙结构定量表征及特征分析

DOI:
10.1190/int-2018-0169.1
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发表时间:
2019-11
影响因子:
1.2
通讯作者:
Zhu Xiong
Zhu Xiong
中科院分区:
地球科学4区
文献类型:
--
作者:
Huaimin Dong;Jianmeng Sun;Jinjiang Zhu;Zhenzhou Lin;Likai Cui;Weichao Yan;Zhu Xiong

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页岩孔隙结构的定量表征可以为页岩气储层质量评价提供基本参数。然而,用常规方法很难准确、全面地表征孔隙结构参数。以四川盆地龙马溪组页岩样品为研究对象,采用高压压汞法、氮气吸附法、二氧化碳吸附法等方法对整个孔隙分布进行了表征。我们发现页岩中的孔隙尺寸与横向弛豫时间([公式:见正文]值)正相关,并存在一个换算系数。我们开发了一种将核磁共振(NMR)与混合检测方法相结合的新方法来测试孔径分布,并优化了混合检测方法获得的孔径与[公式:见正文]值之间的转换系数。然后NMR可以通过转换系数表征孔径分布。该方法可有效弥补常规方法单一表征孔径分布的不足。研究结果表明,页岩中的大孔、中孔和微孔隙非常发育,孔隙形状为墨瓶状和狭缝状。页岩孔隙主要由中孔和中孔组成,约占孔隙体积的74.33%,而中孔约占比表面积(SSA)的70.18%。因此,大孔对孔体积和SSA的影响有限。此外,新方法建立的全孔径分布表征方法能更全面地反映泥页岩中的实际孔隙分布。
Quantitative characterization of pore structure in shale can provide basic parameters for evaluation of the shale-gas reservoir quality. However, it is difficult to use conventional methods to accurately and comprehensively characterize the pore structure parameters. We take shale samples from the Longmaxi Formation in the Sichuan Basin as the study object, and we use the high-pressure mercury intrusion, nitrogen adsorption, and carbon dioxide adsorption methods to characterize the whole aperture distribution. We found that the pore size in shale is positively related to the transverse relaxation time ([Formula: see text] value) and there exists a conversion coefficient. We have developed a new method combining nuclear magnetic resonance (NMR) with hybrid detection methods for testing the pore size distribution, and we optimized the conversion coefficient between pore size obtained by a hybrid detection method and the [Formula: see text] value. NMR can then characterize the pore size distribution by conversion coefficient. This method can effectively make up for the deficiency of conventional methods for pore size distribution characterization by a single method. Our results indicate that the macropore, mesopore, and micropore in shale are very developed, and the pore shapes are ink bottle and slit-like. Shale pores mainly consist of mesopore and micropore, contributing to approximately 74.33% of pore volume, whereas micropore contributes approximately 70.18% of specific surface area (SSA). Therefore, the macropore has a limited effect on the pore volume and SSA. In addition, the establishment of whole aperture distribution characterization by the new method can more comprehensively reflect the actual pore distribution in shale.
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