Fractal characteristics of Upper Cretaceous lacustrine shale from the Songliao Basin, NE China

Wang, Min; Xue, Haitao; Tian, Shansi; Wilkins, R. J.; Wang, Zhiwei

doi:10.1016/j.marpetgeo.2015.05.011

Cited by 184 publications

(148 citation statements)

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“…Conversely, the fractal dimension can characterize the heterogeneity of pore structure, with a higher D value indicating a greater number of small pores or pore throats and a more heterogonous and complicated pore structure in the shale. These trends were consistent with many previous studies and rock types including coal [11], marine shale [14,57], continental shale [43] and marine-continental transitional shale [55]. Figure 10a shows the relationships between the SSA and PV of the shale samples, indicating that PV increased with increasing SSA, which is consistent with previous studies [48,58].…”

Section: Effect Of Mineral Composition On Pore Structuresupporting

confidence: 91%

“…Compared with continental shale and marine-continental transitional shale, the fractal dimension of the marine shale is much higher, indicating that these marine shales have a more heterogeneous pore system. The fractal dimension of the continental shales or transitional shales is generally less than 2.70 [43][44][45]53]. …”

Section: Fractal Dimensions From N2 Physisorptionmentioning

confidence: 99%

“…Fractal dimension D ranges from 2 to 3, where a fractal dimension D = 2 represents a regular and smooth surface and higher D values indicate more irregular or rougher surfaces, or inhomogeneous pore structure. Many methods, including the Langmuir model, thermodynamic method and the Frenkel-Halsey-Hill (FHH) model, are used to calculate fractal dimension [41][42][43]. Among these, the FHH model is widely used and has been shown to be the most effective method for describing the irregular geometric and structural properties of shale [44][45][46].…”

Section: Fractal Theorymentioning

confidence: 99%

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Pore Structure and Fractal Characteristics of Niutitang Shale from China

Tang

Wang

et al. 2018

Minerals

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A suite of shale samples from the Lower Cambrian Niutitang Formation in northwestern Hunan Province, China, were investigated to better understand the pore structure and fractal characteristics of marine shale. Organic geochemistry, mineralogy by X-ray diffraction, porosity, permeability, mercury intrusion and nitrogen adsorption and methane adsorption experiments were conducted for each sample. Fractal dimension D was obtained from the nitrogen adsorption data using the fractal Frenkel-Halsey-Hill (FHH) model. The relationships between total organic carbon (TOC) content, mineral compositions, pore structure parameters and fractal dimension are discussed, along with the contributions of fractal dimension to shale gas reservoir evaluation. Analysis of the results showed that Niutitang shale samples featured high TOC content (2.51% on average), high thermal maturity (3.0% on average), low permeability and complex pore structures, which are highly fractal. TOC content and mineral compositions are two major factors affecting pore structure but they have different impacts on the fractal dimension. Shale samples with higher TOC content had a larger specific surface area (SSA), pore volume (PV) and fractal dimension, which enhanced the heterogeneity of the pore structure. Quartz content had a relatively weak influence on shale pore structure, whereas SSA, PV and fractal dimension decreased with increasing clay mineral content. Shale with a higher clay content weakened pore structure heterogeneity. The permeability and Langmuir volume of methane adsorption were affected by fractal dimension. Shale samples with higher fractal dimension had higher adsorption capacity but lower permeability, which is favorable for shale gas adsorption but adverse to shale gas seepage and diffusion.

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Section: Effect Of Mineral Composition On Pore Structuresupporting

confidence: 91%

Section: Fractal Dimensions From N2 Physisorptionmentioning

confidence: 99%

Section: Fractal Theorymentioning

confidence: 99%

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Pore Structure and Fractal Characteristics of Niutitang Shale from China

Tang

Wang

et al. 2018

Minerals

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“…[30][31][32][33][34][35] Note that low-pressure N 2 adsorption has been considered as the simplest and most cost-effective method to analyze the fractal dimension. [36][37][38] In addition, high-resolution FE-SEM images can be used to characterize intuitive two-dimensional fractal characteristics of shale pore structures. Combining these two methods provides a thorough analysis of pore structure heterogeneity and complexity.…”

Section: Introductionmentioning

confidence: 99%

Morphology and Fractal Characterization of Multiscale Pore Structures for Organic-Rich Lacustrine Shale Reservoirs

Wang

Zhu

et al. 2018

Fractals

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Lacustrine shale gas has received considerable attention and has been playing an important role in unconventional natural gas production in China. In this study, multiple techniques, including ¶ Corresponding author. This is an Open Access article published by World Scientific Publishing Company. It is distributed under the terms of the Creative Commons Attribution 4.0 (CC-BY) License. Further distribution of this work is permitted, provided the original work is properly cited. total organic carbon (TOC) analysis, X-ray diffraction (XRD) analysis, field emission scanning electron microscopy (FE-SEM), helium pycnometry and low-pressure N 2 adsorption have been applied to characterize the pore structure of lacustrine shale of Upper Triassic Yanchang Formation from the Ordos Basin. The results show that organic matter (OM) pores are the most important type dominating the pore system, while interparticle (interP) pores, intraparticle (intraP) and microfractures are also usually observed between or within different minerals. The shapes of OM pores are less complex compared with the other two pore types based on the Image-Pro Plus software analysis. In addition, the specific surface area ranges from 2.76 m 2 /g to 10.26 m 2 /g and the pore volume varies between 0.52 m 3 /100g and 1.31 m 3 /100g. Two fractal dimensions D 1 and D 2 were calculated using Frenkel-Halsey-Hill (FHH) method, with D 1 varying between 2.510 and 2.632, and D 2 varying between 2.617 and 2.814. Further investigation indicates that the fractal dimensions exhibit positive correlations with TOC contents, whereas there is no definite relationship observed between fractal dimensions and clay minerals. Meanwhile, the fractal dimensions increase with the increase in specific surface area, and is negatively correlated with the pore size. 1840013-1

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“…21,22 Fractal theory has been widely used for predicting permeability of porous media. [23][24][25][26][27] Yu and Cheng 24 developed a fractal permeability model for bi-disperse porous media, and fractal dimension and tortuosity fractal dimension were determined with boxing-counting method.…”

Section: Introductionmentioning

confidence: 99%

A Fractal Permeability Model Coupling Boundary-Layer Effect for Tight Oil Reservoirs

et al. 2017

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A fractal permeability model coupling non-flowing boundary-layer effect for tight oil reservoirs was proposed. Firstly, pore structures of tight formations were characterized with fractal theory. Then, with the empirical equation of boundary-layer thickness, Hagen-Poiseuille equation and fractal theory, a fractal torturous capillary tube model coupled with boundary-layer effect was developed, and verified with experimental data. Finally, the parameters influencing effective liquid permeability were quantitatively investigated. The research results show that effective liquid permeability of tight formations is not only decided by pore structures, but also affected by boundary-layer distributions, and effective liquid permeability is the function of fluid type, fluid viscosity, pressure gradient, fractal dimension, tortuosity fractal dimension, minimum pore radius and maximum pore radius. For the tight formations dominated with nanoscale pores, boundary-layer effect can significantly reduce effective liquid permeability, especially under low pressure gradient.

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Fractal characteristics of Upper Cretaceous lacustrine shale from the Songliao Basin, NE China

Cited by 184 publications

References 50 publications

Pore Structure and Fractal Characteristics of Niutitang Shale from China

Pore Structure and Fractal Characteristics of Niutitang Shale from China

Morphology and Fractal Characterization of Multiscale Pore Structures for Organic-Rich Lacustrine Shale Reservoirs

A Fractal Permeability Model Coupling Boundary-Layer Effect for Tight Oil Reservoirs

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