WEBFigure 10 Distinction of skeleton sections based on orientation, a. face cleats and b. butt cleats. Each individual skeleton section is identified by a different colour in the binary image of sample E2 "Image processing based .
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}, .
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. .
WEBOct 3, 2019 · The formation of cleats in coal has started to occur by many mechanisms in various periods of coal, but the presence of one mayor fault and three minor faults trending NESW in the mine pit are ...
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). ...
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. ... Cleatscale characterisation of coal: an overview. J. Nat. Gas Sci. Eng., 39 ... Image Processing Toolbox User's Guide (R2016b). 2015 [cited Revised for .
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 .
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 Andres Galindo Torres and Detlef Bringemeier and .
WEBJun 16, 2020 · A petrographic coal structure of Late Permian coals from the Liupanshui coalfield, Western Guizhou, SW China, has been distinguished for its novel macrolithological characteristics. Petrographic, mineralogical and geochemical studies have been conducted for a typical coal sample ( coal, Songhe coalmine, Panzhou County, .
WEBDOI: / Corpus ID: ; Appliion of Xray computed tomography for analyzing cleat spacing and cleat aperture in coal samples article{Mazumder2006AppliionOX, title={Appliion of Xray computed tomography for analyzing cleat spacing and cleat aperture in coal samples}, author={S. Mazumder and .
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 .
WEBJun 4, 2021 · A 2D numerical model is constructed incorporating a real coal cleat network. A coupled hydromechanical model that incorporates fracture deformation, damage evolution and stressdependent permeability is used for the simulation. ... Image processing based characterisation of coal cleat networks. Int J Coal Geol 169:1–21. Google Scholar
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
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 .
WEBJul 1, 1980 · Estimates 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 .
WEBMar 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. .
WEBOct 1, 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 ...
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 .
WEBJan 12, 2007 · Coal is highly heterogeneous in nature, and for this reason, several analytical techniques are needed for its characterization so as to accurately predict its behavior during conversion processes such as combustion, gasifiion, or liquefaction. Conventional analyses such as proximate analysis, ash analysis, and ash fusion .
WEBImage processing based characterization of coal cleat networks. International Journal of Coal Geology (2017). link. 2016. H M D Harshani, S A GalindoTorres, A Scheuermann and H B Muhlhaus. Experimental study of porous media flow using hydrogel beads and LED based PIV. Measurement Science and Technology (2016), Volume 28, Number 1.
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