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 ...
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 ...
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 ...
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 ...
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
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 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 ...
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 ...
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.
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
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.
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.
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"
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 ...
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 ...
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 ...
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.
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 ...
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 ...
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 ...
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 ...
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 ...
An imagebased coal network model for simulating hydromechanical gas flow in coal: An application to carbon dioxide geosequestration ... Characterization of coal microstructure and the ...
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 ...
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 ...
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 ...
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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