WEBselect article Image processing based characterisation of coal cleat networks. ... Research article Full text access Image processing based characterisation of coal cleat networks. J. Busse, de Dreuzy, S. Galindo Torres, D. Bringemeier, A. Scheuermann. Pages 121 View PDF.
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WEBNov 9, 2015 · Coal characteristics analysed in this paper include cleat geometry, topology of cleat network, degree of mineralisation, and roughness of cleat surfaces. MicroCT scanning procedures to obtain ...
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WEBNov 1, 2017 · Based on image processing technology and digital core modelling, a threedimensional shale digital core model was established. ... characterization of coal microstructure and associated coal ...
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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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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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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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WEBNov 16, 2017 · Coal seam gas (CSG) is a form of unconventional natural gas extracted from coal reservoirs. Coal is an extremely complex fractured porous medium, where gas flow is mainly controlled by its natural fracture, called "cleats." Xray microcomputed tomography (microCT) has been widely applied to obtain the 3D representation of .
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WEBMay 1, 2023 · Characterisation of the cleat network serves as the basis for estimating the hydraulic and mechanical seam properties which in turn are fundamental for flow and geomechanical modelling in the ...
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WEB2017. TLDR. 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. Expand.
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WEBJun 24, 2021 · The distribution of multiscale pores and fractures in coal and rock is an important basis for reflecting the capacity of fluid flow in coal seam seepage passages. Accurate extraction and qualitative and quantitative analysis of porefracture structures are helpful in revealing the flow characteristics of fluid in seepage channels. The relationship .
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WEBAug 1, 2020 · Though no direct permeability calculation is involved in the preprocessing. ... Image processing based characterisation of coal cleat networks. Int. J. Coal Geol. (2017) ... Due to a limited number of research dedied to imagebased porescale modelling in coal, we develop a hybrid numerical model that combines the Hagen .
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WEBNov 9, 2015 · Semantic Scholar extracted view of "XRay MicroComputed Tomography Imaging for Coal Characterization" by H. L. Ramandi et al. ... A threedimensional feature extractionbased method for coal cleat characterization using Xray μCT and its appliion to a Bowen Basin coal specimen ... Imagebased fracture pipe network .
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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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WEBJan 1, 2022 · Coal Cleat/Fracture Segmentation Using Convolutional Neural Networks. This study uses CNNbased methods to segment cleats/fractures of two types of coal samples: homogenous (with typical cleat system) and heterogeneous (with complex background and irregular fracture system). Expand.
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WEBMar 1, 2017 · Its production is mainly controlled by the underlying fracture network of coal, called "cleats". The discrete fracture network (DFN) model is widely applied for characterising fracture networks due to its ability of accounting for physical geological parameters of cleats. ... The microCT image acquisition and processing are described .
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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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WEBMar 1, 2019 · In this study, the fracture pattern is described by a Sierpinski carpet, which is a plane fractal that contains a selfsimilar geometric pattern of holes. This specific fractal pattern has been ...
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WEBMay 1, 2022 · A 3D digital coal model with macropores (> μm) was constructed by using μCT scanning combined with Avizo image processing, and the equivalent pore network model (PNM) was extracted to ...
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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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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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WEBOct 1, 2015 · A workflow for extracting coal cleats, including sample preparation, image acquisition, and image processing has been established (Ramandi et al., 2015;Mostaghimi et al., 2017). ...
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WEBAug 2, 2019 · In this study, the postprocessing methods (image processing, 3D reconstruction, numerical simulation, etc.) of CT scan images are introduced in detail, and the appliion of CT in the coal ...
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WEBJun 1, 2010 · Semantic Scholar extracted view of "Controls on coal cleat spacing" by G. Dawson et al. ... Image processing based characterisation of coal cleat networks ... is an unconventional energy resource, whereby production is mainly controlled by the underlying fracture networks, known as "cleats". The natural cleats are generally .
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WEBDOI: / Corpus ID: ; Image processing based characterisation of coal cleat networks article{Busse2017ImagePB, title={Image processing based characterisation of coal cleat networks}, author={Julia Busse and JeanRaynald de Dreuzy and Sergio A. G. Torres and Detlef Bringemeier and Alexander .
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WEBDOI: / Corpus ID: ; Coal cleat reconstruction using microcomputed tomography imaging article{Jing2016CoalCR, title={Coal cleat reconstruction using microcomputed tomography imaging}, author={Yu Jing and Ryan T. Armstrong and Hamed Lamei Ramandi and Peyman Mostaghimi}, journal={Fuel}, .
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