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.
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 ...
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 ...
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.
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.
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 ...
An imagebased coal network model for simulating hydromechanical gas flow in coal: An application to carbon dioxide geosequestration ... Characterization of coal microstructure and the ...
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 ...
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 ...
A laboratory based systematic physicochemical characterization of the concerned coal bed associated with its geological disposition is therefore in demand, to assess the potential of the reservoir. In this article, we review the present day stateoftheart experimental knowledge and practices followed globally, in combined CO 2 sequestration ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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.
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 ...
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.
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
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 ...
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.
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 ...
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.
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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