A review of carbon dioxide adsorption to unconventional shale rocks methodology, measurement, and calculation

Fakher, Sherif; Imqam, Abdulmohsin

doi:10.1007/s42452-019-1810-8

Cited by 22 publications

(3 citation statements)

References 57 publications

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“…We note that our brief review about experimental measurements and molecular simulations intends to provide basic backgrounds about the conversion of experimentally measured excess adsorption to the absolute adsorption. More details about these two parts can be referred to other review works. − Thereafter, we discuss various excess-adsorption-to-absolute-adsorption conversion methods. We conclude this section by briefly summarizing some key issues in these conversion methods and remaining challenges.…”

Section: Methane Excess Adsorption and Absolute Adsorption: Measureme...mentioning

confidence: 99%

Comprehensive Review about Methane Adsorption in Shale Nanoporous Media

2021

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Shale/tight gas plays an increasingly important role to meet the growing global energy demand and reduce carbon emissions. Unlike conventional reservoirs, shale formations are subject to rock heterogeneity and have pore size distributions ranging from sub-1 nm to a few micrometers. Thanks to the large number of nanosized pores, adsorbed methane capacity plays a dominant role in total shale gas-in-place. Methane adsorption behaviors can vary drastically in micropores and mesopores, and rock surface type may also greatly affect its adsorption. In this review, we provide a systematic discussion on measurements of shale rock properties including rock compositions and pore structures such as specific surface area (SSA) and pore size distribution (PSD), which are important parameters for methane adsorption in shale nanoporous media. We also provide in-depth discussions on experimental measurements on methane (excess) adsorption in shale nanoporous media, methane adsorption behavior characterization based on molecular simulations, and various excess-adsorption-to-absolute-adsorption conversion methods. We pay particular attention to the assumptions and working mechanisms proposed in various interpretation methods which are embedded in pore structures (SSA and PSD) and absolute adsorption characterizations. In the end, we summarize the key challenges in the methane adsorption characterization in shale media.

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Section: Methane Excess Adsorption and Absolute Adsorption: Measureme...mentioning

confidence: 99%

Comprehensive Review about Methane Adsorption in Shale Nanoporous Media

2021

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“…To estimate CO2 adsorption, scientists used a variety of models and assessed how effective they were. The simplest Langmuir and Dubinin-Radushkevich models were found to be the best suitable for modelling single component adsorption on coal and shale [15]. Jin, examined the dissolved molecules of organic substances and find that the traditional Langmuir model could not adequately represent the behavior of the fluidin the porous medium with pore sizes greater than 10 nm, they adopted a cubic equation of state [16].…”

Section: Introductionmentioning

confidence: 99%

Carbon dioxide adsorption on shale: A comparative study of isotherm models across diverse samples and temperatures

Hussain,

Farhah

2024

E3S Web of Conf.

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In order to address one of the most serious environmental concerns of our day, reducing carbon footprints, the globe has turned its attention to carbon dioxide (CO2) storage as a potential solution. Because of its unique features, shale is one of the most intriguing options in this area. Adsorption is the method through which CO2 is stored in shale, particularly in its supercritical condition. Adsorption isotherm models can be used to deduce the behaviour and mechanisms of this adsorption. Langmuir, Freundlich, Dubinin-Astakhov (D-A), and Brunauer-Emmett-Teller (BET) models are among the many available for CO2 modelling on shale. We attempted to fit these models to experimental data gathered from literature sources in this study, concentrating on four separate shale samples from various places in China. Among these samples are LMX1 and LMX2 from the Silurian Longmaxi Formation, WF1 from the Ordovician Wufeng Formation in the Sichuan Basin, and YC from the Ordos Basin's Yanchang Formation. The total organic carbon (TOC) content of these shales, three marine and one continental, ranged from 3.19 to 4.27. The experimental data used to fit the model was obtained at three different temperatures: 35, 45, and 55°C. The Langmuir and D-A models offered the best fit for the data across all samples and temperature. R2 values 0.93429 (for YC rock at 35°C) to 0.99287 (for WF1 at 35°C) for Langmuir and 0.88879 to 0.99201 LMX1 at 35°C. The theoretical underpinnings of these models, which account for the physical properties and adsorption dynamics of supercritical CO2 on shale, are responsible for their performance. Finally, this study adds to our understanding of CO2 adsorption on shale, giving useful insights for future research and potential practical uses in CO2 storage. More research is needed, however, to completely understand the mechanisms and influencing factors of CO2 adsorption in various types of shale, as well as to develop the models used to forecast this behaviour.

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“…Natural gases are the third energy use in the world after petroleum and coal. Currently, gases have a major intention in the energy domain [1]. Gases are used in some utilities such as in the industries and supply of electricity.…”

Section: Introductionmentioning

confidence: 99%

Artificial neural network (ANN) modeling for CO2 adsorption on Marcellus Shale

Irfan

Abdulkareem

Radman

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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In this work, artificial neural network modeling for CO2 adsorption on various types of Marcellus shale samples is studied. The eight shale geometries are investigated for their CO2 adsorption at 298k and up to 50bar pressure utilizing a gravimetric technique and magnetic suspension balance. ANN modelling was applied to investigate three main objectives which are the impact of various training algorithms, various data initiation points, and altered training/validating ratios and number of neurons required for ANN model. The work can provide insightful knowledge linked to the impact of each of the studied parameters which play an important role in ANN modeling and training algorithms. The outcomes can provide an optimized matrix for unconventional resources, enhanced gas and oil recovery applications intend to apply the artificial intelligence modeling in their assessments.

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A review of carbon dioxide adsorption to unconventional shale rocks methodology, measurement, and calculation

Cited by 22 publications

References 57 publications

Comprehensive Review about Methane Adsorption in Shale Nanoporous Media

Comprehensive Review about Methane Adsorption in Shale Nanoporous Media

Carbon dioxide adsorption on shale: A comparative study of isotherm models across diverse samples and temperatures

Artificial neural network (ANN) modeling for CO2 adsorption on Marcellus Shale

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