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 ...
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 ...
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 ...
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.
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 169:121. Google Scholar
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 ...
Mostaghimi et al. [26] has reviewed recent developments in microscale characterisation of coal. Methane production is mainly controlled by coal permeability [27], [28], which is governed by the geometrical properties of the cleat network, including orientation, length, spacing and aperture size [26], [29], [30]. To obtain the geometrical ...
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 ...
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 ...
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 ...
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 ...
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
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 ...
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.
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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
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 ...
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 ...
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].
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.
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 ...
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 ...
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 ...
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"
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.
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 ...
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 ...
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 ...
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.
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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