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首页> 外文期刊>Journal of natural gas science and engineering >New pore space characterization method of shale matrix formation by considering organic and inorganic pores
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New pore space characterization method of shale matrix formation by considering organic and inorganic pores

机译:考虑有机和无机孔隙的页岩基质形成的孔隙空间表征新方法

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A shale matrix is too tight to be described using conventional methods, and digital core technology is becoming an alternative method. Because both organic and inorganic pores exist in the shale matrix, a digital core and a pore network model that could describe these two types of pores at the same time are constructed in this paper. Firstly, the inorganic pore digital core is constructed based on the multiple-point statistics method, and the organic pore digital core is constructed based on the Markov chain Monte Carlo method. The two types of digital cores are superposed together according to a superposition algorithm, which includes information about the shale organic and inorganic pores. The pore network models of different constructed digital cores are extracted using the pore space medial axis method. Finally, based on these platforms, the geometry and topology structure properties, the pore size distribution and the coordination number of a shale sample are analyzed. The results show that the pore size distribution of the shale sample generally ranges from 2 nm to 100 nm, mainly distributing from 5 nm to 20 nm. The coordination number is almost always in the range of 2-3. The digital core results match well with the experimental results to some extent for our study case. (C) 2015 Elsevier B.V. All rights reserved.
机译:页岩矩阵太紧,无法使用常规方法进行描述,而数字核心技术正成为一种替代方法。由于页岩基质中同时存在有机孔隙和无机孔隙,本文构建了可以同时描述这两类孔隙的数字岩心和孔隙网络模型。首先,基于多点统计方法构造了无机孔隙数字核,并基于马尔可夫链蒙特卡洛方法构造了有机孔隙数字核。根据叠加算法,将两种类型的数字岩心叠加在一起,其中包括有关页岩有机和无机孔隙的信息。利用孔隙空间中轴法提取了不同构造数字岩心的孔隙网络模型。最后,基于这些平台,分析了页岩样品的几何形状和拓扑结构特性,孔径分布和配位数。结果表明,页岩样品的孔径分布通常在2 nm至100 nm的范围内,主要分布在5 nm至20 nm的范围内。协调数几乎总是在2-3的范围内。对于我们的研究案例,数字核心结果在一定程度上与实验结果吻合。 (C)2015 Elsevier B.V.保留所有权利。

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