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 application to a Bowen Basin coal specimen ... Imagebased fracture pipe network modelling for prediction ...
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the second two sets of face cleats intersected by butt cleats and the third parallel face cleats only. Keywords cleat geometry, image processing, coal properties, CT scans 1. Introduction Coal cleat networks Coal is characterised by its unique microstructure of a low permeable porous matrix intersected by a network of face and butt cleats.
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S. Mazumder, K.H. A. A. Wolf, K. Elewaut, and R. Ephraim, "Application of Xray computed tomography for analyzing cleat spacing and cleat aperture in coal samples," International Journal of Coal ... and A. Scheuermann, "Image processing based characterisation of coal cleat networks," International Journal of Coal Geology, vol. 169, pp ...
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An image processing workflow to characterise coal cleat networks is introduced. •. Workflow is based on the distinction of perpendicular face and butt cleats. •. Geometric parameters for three different cleat networks are deduced. Characterisation of the cleat network serves as the basis for estimating the hydraulic and mechanical seam ...
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DOI: / 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 Scheuermann}, journal={International Journal of Coal Geology}, year={2017 ...
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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 cleat sets ...
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Conclusions. DigiCoal toolbox is a powerful tool for characterising fractured coal sample on multiple length scales based on 3D microCT data. It is divided into four building blocks. The building block of segmented image preprocessing can prepare the data to be favourable for subsequent quantitatively analyses.
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Digital image processing is the use of computer algorithms to conduct image processing on digital images. A raw image of sample B is shown in Fig. 2 (a). The brightness contrasts shown in the images represent the Xray attenuation in each material, which depends on the atomic number and the density of the material (Van Geet et al., 2001).Voids in the tested coal sample are shown in black in ...
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An imagebased coal network model for simulating hydromechanical gas flow in coal: An application to carbon dioxide geosequestration ... Characterization of coal microstructure and the ...
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Image processing based characterisation of coal cleat networks. Int J Coal Geol, 169(1): 121. ... The characteristics and origins of cleat in coal from western north China. Int J Coal Geol, 47(1): 5162. Google Scholar Su X, Wang Q, Lin H, Song J, Guo H (2018). A combined stimulation technology for coalbed methane wells: part 1 theory and ...
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Coal is a complex heterogeneous and anisotropic material conformed with fractal characteristics. The pore and fracture characteristics have important influence on the dynamic disasters including rock burst and gas outburst, however, the relationship between them is not accurately investigated due to inadequate research method. The pore and fracture distribution of coal with different bursting ...
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Using image recognition technology to realize coal gangue recognition is one of the development directions of intelligent fully mechanized caving mining. Aiming at the problem of low accuracy of ...
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Image processing based characterisation of coal cleat networks J. Busse *a, de Dreuzy b, Sergio Galindo Torres a, D. Bringemeier a,c, A. Scheuermann a *Corresponding author:, +61 40 1906 327 a Geotechnical Engineering Centre, School of Civil Engineering, University of Queensland, St. Lucia, QLD, Australia b
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He proposed a simplified Sierpinskilike fractal model based on μCT to further study the evolution of the porefracture network with higher measurement accuracy. Reydick et al. [46] studied the influence of HCl acidic cleat demineralization on coal permeability based on μCT, and proved that this method improves the vertical permeability.
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Carbon dioxide geological storage in deep underground oil and gas reservoirs or coal seam is considered a key technology to effectively mitigate carbon emissions. Deep coal seams are the potential host rock for CO2 storage, with chemical reactions occurring when coal is exposed to CO2saturated brine. However, limited studies have been conducted to reveal the effect of chemical reaction ...
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Estimation of resources and reserves of minerals important for ease of exploitation commercially of deposits of minerals, because the resources and reserve estimation results can determine investment and estimates the time required by the company in carrying out mine business This research uses cross setion method for calculating of coal volume ...
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select 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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1. Introduction. Coal seam gas (CSG) is a form of unconventional natural gas extracted from coal bed reservoirs, whose production is mainly controlled by the underlying fracture networks, known as "cleats" [20], [58].In these reservoirs, the matrix is usually regarded to be relatively impermeable [62], [48], while the fractures contribute as the main hydraulic conductivity of the rock mass ...
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Cleats/fractures play a vital role in gas extraction from coal bed methane reservoirs. As such, fractures are identified in microcomputed tomography images by segmentation in detailed fracture characterization studies. Conventional segmentation methods include thresholdingbased, region growing, and hybrid methods. In digital images, these methods are unable to differentiate fractures from ...
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Image processing based characterisation of coal cleat networks ... Characterisation of the cleat network serves as the basis for estimating the hydraulic and mechanical seam properties which in ...
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Image processing based characterisation of coal cleat networks J. Busse *a, de Dreuzy b, Sergio Galindo Torres a, D. Bringemeier a,c, A. Scheuermann a *Corresponding author:, +61 40 1906 327 a Geotechnical Engineering Centre, School of Civil Engineering, University of Queensland, St. Lucia, QLD, Australia b
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Galindo 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 Applications 5 (12) (2015), 38 ...
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A material supplier from Belgium would like to produce limestone powder for his custome...
India is rich in various mineral resources and it is an important mineral processing market
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