Fractal Characteristics and Influencing Factors of Pore Structure in Tight Sandstone: A Case Study from Chang 6 Member of the Southwestern Yishan Slope

Fractal dimension analysis provides a quantitative approach to characterizing the heterogeneity of pore structures in reservoirs. In this study, casting thin sections, scanning electron microscopy (SEM), and high-pressure mercury intrusion porosimetry (MIP) were integrated with fractal theory to determine the fractal dimensions of different pore types and investigate the controlling factors of reservoir pore structure heterogeneity. This study identifies three primary pore types—residual intergranular, dissolution, and intergranular pores—and classifies the reservoir into three distinct types based on their mercury intrusion curves and pore-throat radius distributions. The fractal analysis of pore structures reveals three segments corresponding to macropores, mesopores, and transition pores, with average fractal dimensions of 2.28, 3.67, and 2.43, respectively. Furthermore, the overall fractal dimensions for Type I, II, and III reservoirs are 2.69, 2.72, and 2.92, indicating an increasing trend in heterogeneity from Type I to Type III. The fractal dimension shows a negative correlation with reservoir properties, median pore-throat radius, maximum mercury saturation, and the content of quartz and feldspar, while it is positively correlated with displacement pressure. No significant correlation is observed with clay mineral content. These findings offer valuable insights into the heterogeneity of reservoir pore structures and provide a basis for evaluating reservoir quality.

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Publication Details

Journal
Processes
Published
2025-03-26
DOI
https://doi.org/10.3390/pr13040988
Citations
3
Primary Topic
Hydrocarbon exploration and reservoir analysis
Type
article
Field-Weighted Citation Impact
2.59

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article

Fractal Characteristics and Influencing Factors of Pore Structure in Tight Sandstone: A Case Study from Chang 6 Member of the Southwestern Yishan Slope

Xiaojin He, Wei Li, Junfeng Liu, Feng Feng et al.
3 citations
Processes
Hydrocarbon exploration and reservoir analysis
2.59
article

Fractal Characteristics and Influencing Factors of Pore Structure in Tight Sandstone: A Case Study from Chang 6 Member of the Southwestern Yishan Slope

Xiaojin He, Wei Li, Junfeng Liu, Feng Feng, Lun Zhang, Wenjian Zhu, Meng Wang, Yushuang Zhu
article en
3 citations

Abstract

Fractal dimension analysis provides a quantitative approach to characterizing the heterogeneity of pore structures in reservoirs. In this study, casting thin sections, scanning electron microscopy (SEM), and high-pressure mercury intrusion porosimetry (MIP) were integrated with fractal theory to determine the fractal dimensions of different pore types and investigate the controlling factors of reservoir pore structure heterogeneity. This study identifies three primary pore types—residual intergranular, dissolution, and intergranular pores—and classifies the reservoir into three distinct types based on their mercury intrusion curves and pore-throat radius distributions. The fractal analysis of pore structures reveals three segments corresponding to macropores, mesopores, and transition pores, with average fractal dimensions of 2.28, 3.67, and 2.43, respectively. Furthermore, the overall fractal dimensions for Type I, II, and III reservoirs are 2.69, 2.72, and 2.92, indicating an increasing trend in heterogeneity from Type I to Type III. The fractal dimension shows a negative correlation with reservoir properties, median pore-throat radius, maximum mercury saturation, and the content of quartz and feldspar, while it is positively correlated with displacement pressure. No significant correlation is observed with clay mineral content. These findings offer valuable insights into the heterogeneity of reservoir pore structures and provide a basis for evaluating reservoir quality.

ProcessesVol. 13(4)
Northwest University (CN), Daqing Oilfield General Hospital (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 12%
Hydrocarbon exploration and reservoir analysis
2.59
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