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.
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 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.
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 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.
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 ...
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
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 ...
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.
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 ...
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 ...
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.
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 ...
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 ...
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 ...
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 ...
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.
Characterization of coal microstructure and the associated rock mechanical properties are of key importance for coal seam exploration, coal bed methane development, enhanced coal bed methane production and CO2 storage in deep coal seams. Considerable knowledge exists about coal chemical properties, but less is known about the nanoscale to the microscale structure of coals and how they change ...
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 ...
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 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
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 ...
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 ...
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
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 ...
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.
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 ...
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.
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 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 ...
Observation on the Tanjung Enim coal outcrops has been conducted to evaluate coal and cleat characteristics, particularly those occurring at Suban and Air Laya Putih (ALP) sites. Tectonically, the region is located in the South Palembang Subbasin. In this region, there are four to five coal seams dipping to the SW direction.
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 ...
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"
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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