WEBJun 15, 2020 · This paper develops the framework of constructing imagebased Fracture Pipe Network Model (FPNM) for fractured coal samples to efficiently estimate the permeability. Using Xray microCT imaging, internal fracture network of coal samples can be visualised nondestructively, providing accurate fracture data as input for FPNM .
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WEBFigure 6 a. Initial feature and the principle of b. dilation and c. erosion of image features using a diskshaped element with radius r to reconnect features originally being separated due to the binary process "Image processing based characterisation of .
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WEBEstimates of these parameters can be made from imagebased threedimensional (3D) characterization of coal cleats using Xray microcomputed tomography (μCT). One key step in this process, after cleat extraction, is the separation of individual cleats, without which the cleats are a connected network and statistics for different cleat sets ...
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WEBGalindo Sergio., Bringemeier D. and Scheuermann A., Image processing based characterisation of coal cleat networks, ... An approach on determination on coal quality using digital image processing, Int. Journal of Engineering Research and Appliions 5 (12) (2015), 38 ...
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WEBDOI: / Corpus ID: ; Quantitative characterization of fracture structure in coal based on image processing and multifractal theory article{Guoxi2020QuantitativeCO, title={Quantitative characterization of fracture structure in coal based on image processing and multifractal theory}, author={Chen .
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WEBNov 7, 2016 · Abstract. Coal seam gas is an unconventional resource for natural gas that is becoming popular due to its. environmental benefit and abundance. This paper reviews recent developments on the pore ...
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WEBJun 1, 2012 · The potential of a new procedure of image processing for the characterization of a given combustion state through flame visualization is here presented and discussed. Experimental tests were carried out in a swirlstabilized, semiindustrial scale burner of 500 kW th. Using an advanced vision based system, flame images have .
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WEBImage processingbased characterisation of coal cleat networks. International Journal of Coal Geology 169, 1–21. | Image processingbased characterisation of coal cleat networks. Crossref | GoogleScholar Google Scholar | Connell LD, Mazumder S, Marinello S, Sander R, Camilleri M, Pan Z, Heryanto D (2013). Characterisation of Bowen Basin .
WhatsApp: +86 18203695377![Visualisation of [11C]CO2 storage in coal with positron emission ...](/3wa9brv/199.jpg)
WEBAug 22, 2023 · This work develops an imagebased 3D fracture network model, called Fracture Box Model (FBNM). ... models can preserve the topological properties of the coal cleat network found in microCT data ...
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WEBNov 16, 2017 · To characterize the geometry of the cleat network, Jing et al. have developed a quantitative image analyzing method to measure its geometrical properties based on the microCT images of coal, including cleat shape, orientation, length, spacing, and aperture size. They further construct discrete fracture network (DFN) realizations .
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WEBMar 1, 2017 · To address this issue, an imageprocessing workflow is introduced that begins with unpaired domain transfer by cycleconsistent adversarial network, which is used to transfer synchrotronbased ...
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WEBOct 18, 2019 · Characterization of coal microstructure and the associated rock mechanical properties are of key importance for coal seam exploration, coal bed methane development, enhanced coal bed methane production and CO2 storage in deep coal seams. Considerable knowledge exists about coal chemical properties, but less is .
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WEBDOI: / Corpus ID: ; Cleatscale characterisation of coal: An overview article{Mostaghimi2017CleatscaleCO, title={Cleatscale characterisation of coal: An overview}, author={Peyman Mostaghimi and Ryan T. Armstrong and Alireza Gerami and Yibing Hu and Yu Jing and Fatemeh Kamali and Min .
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WEBApr 13, 2022 · Coal rocks often contain calcite, which has a significant effect on the mechanical properties of coal and the energy evolution during rupture damage. In this study, the mesoscale of rock is considered, and the spatial distribution of the internal structure of coal is characterized by digital image technology. Uniaxial compression .
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WEBJul 1, 2019 · The main purpose of image processing is to perform various processing operations on the image to improve its visual effect and lay the foundation for subsequent target recognition. ... It should be noted that the natural cleat of coal has an effect on the gas permeation system, and the corresponding calculation model should be changed ...
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WEBDec 1, 2017 · A characterisation framework is developed to determine if the developedDFN models can preserve the topological properties of the coal cleat network found in microCT data and it is concluded that the topology of the DFN models are closer to that of the realistic cleat networks that do not have segmentationinduced pores. .
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WEBOct 1, 2015 · The coal beds that cleat network is well conductive to the connected fracture can be an improved target area for CBM production. During CBM production, a variety of flow regimes are available ...
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WEBJul 8, 2020 · Observation on the Tanjung Enim coal outcrops has been conducted to evaluate coal and cleat characteristics, particularly those occurring at Suban and Air Laya Putih (ALP) sites. Tectonically, the region is loed in the South Palembang Subbasin. In this region, there are four to five coal seams dipping to the SW direction.
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WEBJun 18, 2021 · Terdapat dua jenis cleat pada batubara, yaitu face cleat dan butt cleat, namun pada penelitian ini akan lebih memfokuskan penelitian pada face cleat. Penelitian terdahulu mengenai cleat pada umumnya lebih mengarah pada pengaruhnya terhadap keterbentukan CBM, namun belum ada yang membahas mengenai hubungan .
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WEBApr 2, 2024 · Imagebased automatic fracture extraction methods have many practical appliions in geological and engineering. Fracture identifiion and quantitative characterization require the means of interpreting and statistically analyzing image data. In comparison to traditional digital image processing methods, supervised semantic .
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WEBMay 13, 2022 · Image processingbased characterisation of coal cleat networks. International Journal of Coal Geology 169, 1–21. | Image processingbased characterisation of coal cleat networks. Crossref | GoogleScholar Google Scholar | Connell LD, Mazumder S, Marinello S, Sander R, Camilleri M, Pan Z, Heryanto D .
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WEBDec 15, 2019 · Image processing based characterisation of coal cleat networks Int J Coal Geol, 169 ( 2017 ), pp. 1 21, / View PDF View article View in Scopus Google Scholar
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WEBDOI: / Corpus ID: ; Characterizing coal cleats from optical measurements for CBM evaluation article{Weniger2016CharacterizingCC, title={Characterizing coal cleats from optical measurements for CBM evaluation}, author={S. Weniger and Philipp Weniger and Ralf Littke}, journal={International Journal .
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WEBAug 27, 2021 · Abstract Accurate characterization of the initiation of hydraulic fractures is crucial for understanding the formation of multiple hydraulic fracture networks in coal seams in coalbed methane extraction and disaster prevention. To this end, hydraulic fracturing has been extensively employed in the reservoir stimulation of shale and .
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