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 ...
WhatsApp: +86 18203695377Image 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 18203695377This 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 18203695377Estimates 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 18203695377Based 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 ...
WhatsApp: +86 18203695377The 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 18203695377These 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 ...
WhatsApp: +86 18203695377Image 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 18203695377Coal 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 ...
WhatsApp: +86 18203695377This 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 18203695377Digital 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 18203695377Figure 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"
WhatsApp: +86 18203695377To 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 ...
WhatsApp: +86 18203695377select 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 18203695377Based 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 18203695377The form definition of a cleat in a coal specimen is based on the widely accepted concept of an orthogonal network of butt and face cleats with both normal to the bedding plane (Fig. 1). For the study of cleat occurrence and geometry in 2D image processing, a cleat has been defined as a feature that is longer than wide and aligned straight.
WhatsApp: +86 18203695377the 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 18203695377Experiment 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 18203695377Semantic 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 18203695377The 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 18203695377Batubara yang terendapkan memberikan kenampakan geologi. Salah satu kenampakan tersebut adalah cleat pada batubara. Cleat pada batubara merupakan rengkahan yang ada pada batubara. Terdapat dua jenis cleat pada batubara, yaitu face cleat dan butt cleat, namun pada penelitian ini akan lebih memfokuskan penelitian pada face cleat.
WhatsApp: +86 18203695377characterisation 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 18203695377Image 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 ...
WhatsApp: +86 18203695377Estimation 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 ...
WhatsApp: +86 18203695377Semantic 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 18203695377Figure 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"
WhatsApp: +86 18203695377