Effect of Supercritical Carbon Dioxide (ScCO2) on the Microstructure of Bituminous Coal with Different Moisture Contents in the Process of ScCO2 Enhanced Coalbed Methane and CO2 Geological Sequestration

Li, Ruihui; Ge, Zhaolong; Wang, Zepeng; Zhou, Zhe; Jing, Zhou; Li, Chengtian

doi:10.1021/acs.energyfuels.1c04027

Cited by 8 publications

(3 citation statements)

References 43 publications

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“…Coal seams also contain natural moisture, which can affect the coal adsorption performance. In addition to the experimental method employed by Zhang et al, Li et al 151 also used the mercury intrusion method and Raman spectroscopy to investigate the influence of the moisture content on the treatment of coal seams with supercritical carbon dioxide. As the moisture increased, there was an increasing trend in the micropore volume of the coal samples.…”

Section: Recent Research Hotspotsmentioning

confidence: 99%

Recent Advances in Geological Storage: Trapping Mechanisms, Storage Sites, Projects, and Application of Machine Learning

Feng

et al. 2023

Energy Fuels

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A significant amount of carbon dioxide (CO2) is being released into the atmosphere as a result of the acceleration of industrialization and increased energy consumption, which are causing a rise in world temperatures. Despite the fact that nations all over the world have actively participated in CO2 storage projects, there is still not enough to moderate global temperatures. Therefore, there is an urgent need for the development of CO2 sequestration technologies. The main geological storage trapping mechanisms are discussed in this work along with an analysis of the major influencing variables. Additionally, the benefits and drawbacks of significant storage locations and current research hotspots are explored. Storage project development across the globe is outlined. The use of machine learning for CO2 sequestration is reviewed toward the end. This extensive review reveals that the main variables affecting CO2 capture capacity are hydrodynamic and geochemical. The sequestration capability of various storage sites is significantly influenced by the reservoir characteristics and implementation methodologies. The successful implementation of the storage project is determined by local policies and public support. The development of machine learning technologies makes storage projects safer and more dependable.

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Section: Recent Research Hotspotsmentioning

confidence: 99%

Recent Advances in Geological Storage: Trapping Mechanisms, Storage Sites, Projects, and Application of Machine Learning

Feng

et al. 2023

Energy Fuels

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“…Coal structure refers to the structural characteristics of coal seams that have undergone various geological processes, and it is categorized into primary coal, cataclastic coal, granulitic coal, and mylonite coal with a gradually fragmented structure. , Coal sample observation and logging curve interpretation are the common methods to clarify the vertical coal structure characteristics and their combinations, as well as the spatial variation in different areas. , The observation of coal samples includes the coal type, coal structure, and maceral. The deep lateral resistivity logging (LLD), gamma ray logging (GR), density logging (DEN), and acoustic logging (AC) logging curves are widely used in the exploration of coal fields, and the coal structure can be identified according to the amplitude, amplitude variation, shape, and peak of these curves. , The coal structure is influenced by coal spatial distribution, properties, and geological conditions. , The maturity of coal increases with greater burial depth, resulting in variations in molecular component, molecular structure, pore structure, hardness, density, and ductility. , …”

Section: Introductionmentioning

confidence: 99%

“…7,8 The coal structure is influenced by coal spatial distribution, properties, and geological conditions. 9,10 The maturity of coal increases with greater burial depth, resulting in variations in molecular component, molecular structure, pore structure, hardness, density, and ductility. 11,12 Additionally, the thickness of the coal seam also has an impact on the coal structure.…”

Section: Introductionmentioning

confidence: 99%

Coal Structure Characteristics of the 2# Coal Seam in the Jiaozuo Mining Area and Its Geological Dependence

Duan,

Ma,

Wang

et al. 2023

ACS Omega

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To clarify the coal structure, spatial distribution, and controlling factors of the 2# coal seam in Jiaozuo mining, the drilling coal samples were collected to observe the coal type and coal structure. The coal macerals were identified by a MPVSP microscope photometer, and the spatial characteristics of the coal structure were obtained through interpreting deep lateral resistivity logging, natural gamma ray logging, density logging, and acoustic logging curves. The influence of coal properties, burial depth, geological stress, and faults on the coal structure were discussed correspondingly. The results exhibit that granulitic−mylonite coal was most developed in the 2# coal seam, followed by primary coal and cataclastic coal; the coal type was dominated by semibright coal, followed by clarain and semidull coal. Granulitic−mylonite, cataclastic, and primary coals were the main components of clarain, semibright coal, and semidull coal, respectively. Higher vitrinite and organic matter contents were conducive to the development of granulitic−mylonite. The coal structure combinations were spatially varied, and the granulitic− mylonite combinations were the most common. Granulitic−mylonite coal was developed in the east and south parts of the study area, and the coal structure was fragmented with a greater burial depth and larger thickness. The geological stress is the fundamental cause of coal structure damage as well as the cutting of faults.

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Microstructure Evolution of Bituminous Coal Modified by High-Pressure CO2 Foam Fracturing Fluid with Different Treatment Times

et al. 2023

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Effect of Supercritical Carbon Dioxide (ScCO₂) on the Microstructure of Bituminous Coal with Different Moisture Contents in the Process of ScCO₂ Enhanced Coalbed Methane and CO₂ Geological Sequestration

Cited by 8 publications

References 43 publications

Recent Advances in Geological Storage: Trapping Mechanisms, Storage Sites, Projects, and Application of Machine Learning

Recent Advances in Geological Storage: Trapping Mechanisms, Storage Sites, Projects, and Application of Machine Learning

Coal Structure Characteristics of the 2# Coal Seam in the Jiaozuo Mining Area and Its Geological Dependence

Microstructure Evolution of Bituminous Coal Modified by High-Pressure CO2 Foam Fracturing Fluid with Different Treatment Times

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