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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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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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 cleat network.
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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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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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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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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 as a function of frequency, aperture, size, orientation relative to in situ stresses, connectivity and porosity, with ...
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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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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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Read "/" on DeepDyve, the largest online rental service for scholarly research with thousands of academic publications available at your fingertips. ... Milton, QLD, Australia article i nfo abstract Article history: Characterisation of the cleat network serves as the basis for estimating the hydraulic and mechanical ...
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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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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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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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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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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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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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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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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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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 Andres Galindo Torres and Detlef Bringemeier and Alexander Scheuermann}, journal={International Journal of Coal Geology ...
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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 ... seam properties which in turn are fundamental for flow and geomechanical modelling in the context of underground coal mining ...
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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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Abstract. 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 ...
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1. Introduction. Coal is a dual porosity system containing micropores and a network of natural fractures known as cleats. Whereas the micropores account for most of the porosity in coal, the cleat network offers the permeability for fluid flow (Clarkson and Bustin, 1996, Moore, 2012, Puri et al., 1991).Cleats are characterized by two main orthogonal sets of fractures "face" and "butt ...
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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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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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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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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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