Multi-method characterization of sandstone pore size distribution heterogeneity and its influence on porosity and permeability variation

IF 1.8 4区 地球科学 Q3 GEOSCIENCES, MULTIDISCIPLINARY Frontiers of Earth Science Pub Date : 2024-08-19 DOI:10.1007/s11707-022-1044-8
Junjian Zhang, Fangkai Quan, Hui Zhang, Yinchuan Shao, Yanning Han, Yuqiang Yang, Xiangchun Chang, Xiaoyang Zhang
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Abstract

Pore volume/surface area and size distribution heterogeneity are two important parameters of pore structures, which restrict the gas-water-oil migration process in sandstone reservoirs. The fractal theory has been proved to be one of the most effective methods to quantify pore distribution heterogeneity. However, the dynamic variation of porosity and permeability due to fractal characteristics has been rarely studied. In this paper, physical properties, mineral composition, and pore distribution of 18 groups of sandstone samples were analyzed using scanning electron microscope (SEM) and high-pressure mercury injection tests. Then, Sierpinski model, Menger model, thermodynamic model, and multi-fractal model were used to calculate the fractal dimension of the pore volume. Thus, the relationship between fractal dimension and porosity/permeability variation rate, and pore compressibility were studied. The results are as follows. 1) All samples can be divided into three types based on pore volume (0.9 cm3·g−1) and mercury removal efficiency (35%), i.e., Type A (< 0.9 cm3·g−1and < 35%); Type B (> 0.9 cm3·g−1 and <35%); Type C (> 0.9 cm3·g−1 and > 35%). 2) Four fractal models had poor applicability in characterizing fractal characteristics of different sample types. The fractal dimension by the Sierpinski model had a good linear correlation with that of other models. Pores with smaller volumes dominated the overall pore distribution heterogeneity by multi-fractal dimension. The pore diameter between 200–1000 nm and larger than 1000 nm was the key pore size interval that determined the fractal characteristics. 3) With the increase of confining pressures, porosity and permeability decreased in the form of a power function. The compressibility coefficient of typical samples was 0.002–0.2 MPa−1. The compressibility of Types A and B was significantly higher than that of Type C, indicating that the total pore volume was not the key factor affecting the pore compressibility. The correlation of compressibility coefficient/porosity variation rate with pore volume (total and different size pore volume), fractal value and mineral component were not significant. This indicates that these three factors comprehensively restricted pore compression.

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砂岩孔径分布异质性及其对孔隙度和渗透率变化影响的多方法表征
孔隙体积/表面积和尺寸分布异质性是孔隙结构的两个重要参数,它们制约着砂岩储层的气-水-油迁移过程。分形理论已被证明是量化孔隙分布异质性的最有效方法之一。然而,分形特征导致的孔隙度和渗透率动态变化却鲜有研究。本文利用扫描电子显微镜(SEM)和高压注汞试验分析了 18 组砂岩样品的物理性质、矿物成分和孔隙分布。然后,利用西尔平斯基模型、门格尔模型、热力学模型和多分形模型计算了孔隙体积的分形维数。从而研究了分形维度与孔隙度/渗透率变化率和孔隙压缩性之间的关系。研究结果如下1) 根据孔隙体积(0.9 cm3-g-1)和汞去除率(35%),所有样品可分为三种类型,即 A 型(< 0.9 cm3-g-1 and <35%);B 型(> 0.9 cm3-g-1 and <35%);C 型(> 0.9 cm3-g-1 and >35%)。2)四种分形模型在表征不同样品类型的分形特征时适用性较差。Sierpinski 模型的分形维度与其他模型的分形维度具有良好的线性相关。从多分形维度来看,体积较小的孔隙在整个孔隙分布异质性中占主导地位。孔径在 200-1000 nm 之间且大于 1000 nm 的孔是决定分形特征的关键孔径区间。3) 随着约束压力的增加,孔隙度和渗透率呈幂函数形式下降。典型样品的压缩系数为 0.002-0.2 MPa-1。A 型和 B 型的可压缩性明显高于 C 型,说明孔隙总量不是影响孔隙可压缩性的关键因素。压缩系数/孔隙度变化率与孔隙体积(总孔隙体积和不同尺寸孔隙体积)、分形值和矿物成分的相关性不显著。这表明这三个因素全面限制了孔隙压缩性。
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来源期刊
Frontiers of Earth Science
Frontiers of Earth Science GEOSCIENCES, MULTIDISCIPLINARY-
CiteScore
3.50
自引率
5.00%
发文量
627
期刊介绍: Frontiers of Earth Science publishes original, peer-reviewed, theoretical and experimental frontier research papers as well as significant review articles of more general interest to earth scientists. The journal features articles dealing with observations, patterns, processes, and modeling of both innerspheres (including deep crust, mantle, and core) and outerspheres (including atmosphere, hydrosphere, and biosphere) of the earth. Its aim is to promote communication and share knowledge among the international earth science communities
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