首页> 外文期刊>Journal of natural gas science and engineering >Quantitative pore characterization and the relationship between pore distributions and organic matter in shale based on Nano-CT image analysis: A case study for a lacustrine shale reservoir in the Triassic Chang 7 member, Ordos Basin, China
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Quantitative pore characterization and the relationship between pore distributions and organic matter in shale based on Nano-CT image analysis: A case study for a lacustrine shale reservoir in the Triassic Chang 7 member, Ordos Basin, China

机译:基于纳米CT图像分析的页岩定量孔隙表征及孔隙分布与有机质的关系-以鄂尔多斯盆地三叠系长7段湖相页岩储层为例

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The microstructure of shale has always been of interest in studies associated with shale gas reservoirs. In addition, the influence of the presence of organic matter on the pore distribution is not well-understood. Although considerable attention has been given to the total organic carbon (TOC) content together with the total porosity, concerns regarding investigating the pores in rocks separately according to the different media where the pores are distributed are still rare. This paper presents a comparative study of the pore size distribution (PSD) in organic matter (OM) and the mineral matrix (MM) within the same sample with the OM-hosted pores and MM-hosted pores accurately distinguished and quantitatively analysed. Four shale samples from a shale play in the Ordos Basin are scanned using nano-CT scanning with a resolution of 65 nm. The calculated total organic carbon (TOC) of the samples are 3.48%, 4.47%, 2.76%, and 3.01% with corresponding porosities of 4.30%, 4.97%, 4.50%, and 4.74%, respectively. The results show that more of the large pores exist in the OM with better connectivity and irregular shapes, while the pores in the MM are smaller on average, have less connectivity, and primarily consist of tiny spheres. The pore-medium-ratio (PMR) was introduced to illustrate the pore volume distribution characteristics within each specific medium. The PMR is a ratio between the volume of pores in a specific medium (i.e., MM or OM in this study) and the volume of that medium. According to the PMR curves, the small pores are distributed homogeneously, while the large pores have a heterogeneous distribution and are medium-dependent. It is concluded that the OM affects the pore distribution in three aspects: 1. the OM has a higher PMR; 2. most large pores occur in the OM; and 3. the small pores in the MM tend to appear around the OM. Insights into the various distributions of the pores have been developed. Pores in either medium exhibit an exponential distribution in number. Three sections of the pore volume distribution and surface area distribution are found. Furthermore, the concept is verified that small pores have a large effect on the surface area, while large pores have a large effect on the pore volume. (C) 2015 Elsevier B.V. All rights reserved.
机译:页岩的微观结构一直是与页岩气藏相关的研究兴趣。另外,还没有很好地理解有机物的存在对孔分布的影响。尽管已经对总有机碳(TOC)含量和总孔隙率给予了相当大的关注,但是仍然很少有人会根据孔隙分布的不同介质分别研究岩石中的孔隙。本文对同一样品中有机物(OM)和矿物基质(MM)的孔径分布(PSD)进行了比较研究,并准确区分和定量分析了OM承载孔和MM承载孔。使用纳米CT扫描以65 nm的分辨率扫描了鄂尔多斯盆地页岩中的四个页岩样品。样品的计算总有机碳(TOC)为3.48%,4.47%,2.76%和3.01%,相应的孔隙率分别为4.30%,4.97%,4.50%和4.74%。结果表明,在OM中存在更多的大孔,具有更好的连通性和不规则形状,而MM中的孔平均较小,连通性较小,并且主要由小球组成。引入孔-介质比(PMR)来说明每种特定介质内的孔体积分布特征。 PMR是特定介质(即本研究中的MM或OM)中的孔体积与该介质的体积之比。根据PMR曲线,小孔均匀分布,而大孔分布不均且是中等的。结论是:OM从三个方面影响孔分布:1. OM具有较高的PMR; 2.大多数大孔出现在OM中; 3. MM中的小孔倾向于出现在OM周围。已经开发了对孔的各种分布的见解。两种介质中的毛孔均呈指数分布。发现了孔体积分布和表面积分布的三个部分。此外,该概念得到证实,小孔对表面积有很大影响,而大孔对孔体积有很大影响。 (C)2015 Elsevier B.V.保留所有权利。

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