Batubara yang terendapkan memberikan kenampakan geologi. Salah satu kenampakan tersebut adalah cleat pada batubara. Cleat pada batubara merupakan rengkahan yang ada pada batubara. Terdapat dua jenis cleat pada batubara, yaitu face cleat dan butt cleat, namun pada penelitian ini akan lebih memfokuskan penelitian pada face cleat.
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Image processing based characterisation of coal cleat networks ... the context of underground coal mining. Cleat and cleat network geometry can be described as a function of frequency, aperture ...
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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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These comparisons provide a quantitative evidence for pore network connectivity evolution (interconnection of cleat network and isolated pores) through LN 2 fracturing of the bituminous coal. In addition to ( μm) 3 resolution scanning, a larger volume μCT test with ( μm) 3 voxel size was also carried out on the same sample, prior to ...
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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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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 processingbased characterisation of coal cleat networks. International Journal of Coal Geology 169, 121. | 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 Coal ...
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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 where the ...
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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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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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To obtain the geometrical statistics of the coal cleat network at the core scale, quantitative image analysis methods on the segmented microCT images have been developed. BossieCodreanu et al. (2004) and ( Mazumder et al., 2006) measured cleat density, spacing, orientations and aperture sizes using microCT scanning.
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1. Introduction. Coal reservoir is a multiscale complex system with the naturally fractured dualporosity medium consisting of cleats and matrices (Gan et al., 1972; Harpalani and Chen, 1997).The pore structure of coal matrix which is the main storage site of coalbed methane (CBM), and the fracture and cleat which are the permeable channel for CBM production, amalgamate to form the ...
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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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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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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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Figure 13 Principle of shape parameters used in the study, a. ellipse perimeter that has the same normalized second central moment (variance) as b. the area of a binary image feature "Image processing based characterisation of coal cleat networks"
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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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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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Figure 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 coal cleat networks"
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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 turn are fundamental for flow and geomechanical modelling in the context of underground coal mining. Cleat and cleat network geometry can be described ...
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Hobson et al. established a set of coal gangue separation process based on image processing and analysis, and found that texture is more suitable for the application of coal gangue separation [26].
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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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The face cleat spacing has a greater influence on the cutting process of conical pick than that of butt cleat spacing. (3) Neglecting at the moment of contact between the conical pick and coal, the number of tensile cracks is more than twice that of the shear cracks in the entire cutting process.
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Download scientific diagram | CT slice (A) and cleat interpretation (B). from publication: A new characterization method for coal bed methane | Coal bed methane reservoirs are hard to characterize ...
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characterisation of coal cleat based on Xray microscopic computed tomography ( CT) and feature ... a key step after the initial cleat network extraction from µCT images is the separation of the network ... Although image processingbased methods for cleat separation have been reported before (Jing, Armstrong et al. 2016, Busse, De Dreuzy et ...
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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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This paper reviews recent developments on the cleatscale characterisation of coal. Novel microCT imaging and image calibration methods are described. The application of microCT imaging for studying diffusion processes in ultralow permeability media is shown. The extraction of statistical information from microCT images to reconstruct cleats are demonstrated.
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The butt cleats and face cleats interlace with each other and form complex fracture network in cross sections of coal block. It was assumed that all the fractures in the processed images were approximate rectangles. The lengths of rectangles represent measured values, while the widths represent averaged values.
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Based on the scanning at two scales, the detail structures of coal samples are reconstructed with the image processing technique, which realizes the multiscale qualitative and quantitative characterization. ... Image processing based characterisation of coal cleat networks. International Journal of Coal Geology, Volume 169, 2017, pp. 121.
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Semantic Scholar extracted view of "Controls on coal cleat spacing" by G. Dawson et al. ... Image processing based characterisation of coal cleat networks. ... (CSG) is an unconventional energy resource, whereby production is mainly controlled by the underlying fracture networks, known as "cleats". The natural cleats are generally mineralized
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