Fractal analysis and spatial disposition of porosity in major indian gas shales using low-pressure nitrogen adsorption and advanced image segmentation

Tripathy, Ashutosh; Kumar, Anil; Srinivasan, Vinoth; Singh, Kumar Hemant; Singh, T. N.

doi:10.1016/j.jngse.2019.103009

Cited by 27 publications

(8 citation statements)

References 72 publications

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“…In November 2016 the decision of shale gas companies in the United States to dribble only a small amount of surplus gas to Europe as demand soared has a commercial logic; the resulting spike in spot prices translated into record profits. The messages send worldwide have led to an increase in the SGPI [ 10 ]. A surge in the price of shale gas makes emerging market investors invest money in traditional financial products, such as non-renewable resources, because they are concerned that the emerging green financing market is vulnerable and more exposed to financial jitter and slow growth in America.…”

Section: Resultsmentioning

confidence: 99%

“…Although some researchers have expressed ongoing concerns about the relationship between the SGPI and GBI, they have not reached the same conclusions. Some researchers claim that the SGPI has positive effects on the GBI [ 10 ], while there is a conflicting view [ 11 ]. Some argue that the SGPI does not have causality with the GBI [ 12 ].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Green bonds and US shale gas prices: Evidence from a novel time-varying causality

Wu,

Li,

2023

Heliyon

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Green bonds and US shale gas prices: Evidence from a novel time-varying causality

Wu,

Li,

2023

Heliyon

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“…Both SEM and TEM are commonly applied imaging techniques in analyzing shale pore structure; SEM excels in observing mesopore structure, while TEM is more accurate in micropore observation . Combination of the two imaging techniques can reflect the true pore size distribution of shale samples comprehensively and is suitable for nanoscale characterization of shale gas reservoirs. , Zhou et al conducted a 2D characterization of shale samples from the Lower Silurian Longmaxi Formation in the southern Sichuan Basin by SEM techniques . The results showed that the nanopore structure can be divided into three types: organic pores, inorganic pores, and microfractures, among which the Longmaxi Formation shales are dominated by organic pores.…”

Section: Experimental Studies On Shale Microstructure Analysismentioning

confidence: 99%

A Review of Molecular Models for Gas Adsorption in Shale Nanopores and Experimental Characterization of Shale Properties

Zhang

Xin

et al. 2023

ACS Omega

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Shale gas, as a promising alternative energy source, has received considerable attention because of its broad resource base and wide distribution. The establishment of shale models that can accurately describe the composition and structure of shale is essential to perform molecular simulations of gas adsorption in shale reservoirs. This Review provides an overview of shale models, which include organic matter models, inorganic mineral models, and composite shale models. Molecular simulations of gas adsorption performed on these models are also reviewed to provide a more comprehensive understanding of the behaviors and mechanisms of gas adsorption on shales. To accurately understand the gas adsorption behaviors in shale reservoirs, it is necessary to be aware of the pore structure characteristics of shale reservoirs. Thus, we also present experimental studies on shale microstructure analysis, including direct imaging methods and indirect measurements. The advantages, disadvantages, and applications of these methods are also well summarized. This Review is useful for understanding molecular models of gas adsorption in shales and provides guidance for selecting experimental characterization of shale structure and composition.

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“…Many studies have also confirmed that the pore structure features, mineral composition and total organic carbon (TOC) content of shale samples, along with the methods employed for data acquisition and analysis, can affect the value of fractal dimensions to varying degrees [12,24,26]. In general, a smaller pore size and larger porosity correspond to higher fractal dimensions, while the impacts of mineral or TOC contents remain inconclusive, even with contradictory findings reported across various studies [19,27]. For instance, the relationship between fractal dimensions and the TOC value can be delineated by a U-shaped curve, implying a shift in the correlation pattern at a specific TOC threshold [28].…”

Section: Introductionmentioning

confidence: 99%

Pore-Type-Dependent Fractal Features of Shales and Implications on Permeability

Zhang,

Dong,

Tong

2023

Fractal Fract

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Pore structure features govern the capacity of gas storage and migration in shales and are highly dependent on the types of pores, i.e., interparticle (InterP) pores, intraparticle (IntraP) pores and organic matter (OM)-hosted pores. However, fractal features in terms of pore types and their respective contributions to permeability have been rarely addressed. On the basis of high-resolution imaging, fractal dimensions (Ds) have been determined from both pore size distributions and digital rock to quantify the heterogeneity in pore morphology and spatial textures. Overall, OM-hosted pores are smaller in size and more abundant in quantity, corresponding to a relatively high D, while IntraP pores are mainly isolated and scarce, translating into lower D values. Additionally, crack-like InterP pores with a moderate level of porosity and the D can play a pivotal role in shale seepage potential. A comparison of the estimated permeability among different pore types highlights that the contribution of interconnected OM pores to the overall permeability remains constrained unless they can link neighboring pore clusters, as commonly observed in organo-clay composites. Furthermore, the pore morphology and fractal features of shale rocks can exhibit noteworthy variations subjected to sedimentology, mineralogy, diagenesis and OM maturation.

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Fractal analysis and spatial disposition of porosity in major indian gas shales using low-pressure nitrogen adsorption and advanced image segmentation

Cited by 27 publications

References 72 publications

Green bonds and US shale gas prices: Evidence from a novel time-varying causality

Green bonds and US shale gas prices: Evidence from a novel time-varying causality

A Review of Molecular Models for Gas Adsorption in Shale Nanopores and Experimental Characterization of Shale Properties

Pore-Type-Dependent Fractal Features of Shales and Implications on Permeability

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