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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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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Based on image processing and 3D reconstruction, the pores (8%), mineral (3%), and coal matrix (89%) in coal were extracted. The accuracy of the reconstruction results was verified by mercury intrusion test and proximate analysis. (2) The pore size distribution show high heterogeneity in REV space.
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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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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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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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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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The permeability of coal in parallel face cleat direction is the largest, followed by the permeability of coal in parallel butt cleat direction, and that in vertical bedding direction is the minimum. The ratios of k x : k y : k z are ::1, ::1, ::1, and ::1 respectively when the CO 2 injection pressure increases ...
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Image processing based characterisation of coal cleat networks. Int. J. Coal Geol. (2017) Bustin et al. Abrupt changes (jumps) in reflectance values and chemical compositions of artificial charcoals and inertinite in coals ... Coal cleat reconstruction using microcomputed tomography imaging. Fuel (2016) S. Karimpouli et al. Stochastic ...
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processingbased methods for cleat separation have been reported (Jinget al., 2016; Busse et al., 2017), there is a limitation that the 3D spatial continuity of individual cleats has not been ...
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Petrophysics of coals directly affects the development of coalbed methane (CBM). Based on the analysis of the representative academic works at home and abroad, the recent progress on petrophysics characteristics was reviewed from the aspects of the scalespan porefracture structure, permeability, reservoir heterogeneity, and its controlling factors. The results showed that the ...
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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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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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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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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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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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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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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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The characteristics of porefracture networks in coal seams and their evolution under compression are important for exploration and development of coalbed methane (CBM) and for the forecasting of coal dynamic disasters. Significant process has been made in fracture characteristics of rocks, however, the visualization and detailed quantitative characterization of realtime dynamic evolution of ...
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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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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, China) and its geological genesis and significance for coalbed methane ...
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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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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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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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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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This paper considers the application of convolutional neural networks for coal petrographic images segmentation. The UNetbased model for segmentation was proposed. ... Bringemeier, D.; Scheuermann, A. Image processing based characterisation of coal cleat networks. Int. J. Coal Geol. 2016, 169, 121.
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