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 ...
WhatsApp: +86 18838072829
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.
WhatsApp: +86 18838072829
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 ...
WhatsApp: +86 18838072829
The pore network model signifying that the studied coal seams are microstructurally different comprises a lateral difference in pore and cleat/fracture. ... Image processing based characterization of coal cleat networks. Int. J. Coal Geol. (2017) ... Cleatscale characterization of coal: an overview. J. Nat. Gas Sci. Eng.
WhatsApp: +86 18838072829
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.
WhatsApp: +86 18838072829
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.
WhatsApp: +86 18838072829
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 ...
WhatsApp: +86 18838072829
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.
WhatsApp: +86 18838072829
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 ...
WhatsApp: +86 18838072829
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
WhatsApp: +86 18838072829
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 ...
WhatsApp: +86 18838072829
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.
WhatsApp: +86 18838072829
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 ...
WhatsApp: +86 18838072829
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 ...
WhatsApp: +86 18838072829
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 ...
WhatsApp: +86 18838072829
The characterization of fracture structures is key for evaluating the permeability of coalbed methane (CBM) reservoirs, and an interconnected fracture network is essential for the production of CBM. Taking the Upper Permian coal in the eastern Yunnan and western Guizhou region as an example, we systemically studied the characteristics of coal deformation and fracture development through direct ...
WhatsApp: +86 18838072829
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
WhatsApp: +86 18838072829
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 ...
WhatsApp: +86 18838072829
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 ...
WhatsApp: +86 18838072829
Experiment setup, data acquisition and processing. ... Image processing based characterisation of coal cleat networks. Int J Coal Geol (2017) A. Busch et al. ... The size of the CT scan specimen and the analytical scale of the CT image are mutually restricted, making it impossible to achieve highprecision imaging for the largersized specimens ...
WhatsApp: +86 18838072829
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
WhatsApp: +86 18838072829
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 ...
WhatsApp: +86 18838072829
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.
WhatsApp: +86 18838072829
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 ...
WhatsApp: +86 18838072829
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 ...
WhatsApp: +86 18838072829
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 ...
WhatsApp: +86 18838072829
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 ...
WhatsApp: +86 18838072829
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 ...
WhatsApp: +86 18838072829
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.
WhatsApp: +86 18838072829
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 ...
WhatsApp: +86 18838072829
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 ...
WhatsApp: +86 18838072829
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
WhatsApp: +86 18838072829
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 ...
WhatsApp: +86 18838072829
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 ...
WhatsApp: +86 18838072829
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.
WhatsApp: +86 18838072829
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
Copyright © 2023 GMC Co., Ltd. SiteMap
