WEBJan 1, 2004 · Coal characteristics analysed in this paper include cleat geometry, topology of cleat network, degree of mineralisation, and roughness of cleat surfaces. MicroCT scanning procedures to obtain ...
WhatsApp: +86 18203695377WEBBusse, J., de Dreuzy, J. R., Galindo Torres, S., Bringemeier, D., Scheuermann, A. (2017). Image processing based characterisation of coal cleat networks.
WhatsApp: +86 18203695377WEBNov 9, 2015 · Coal characteristics analysed in this paper include cleat geometry, topology of cleat network, degree of mineralisation, and roughness of cleat surfaces. MicroCT scanning procedures to obtain ...
WhatsApp: +86 18203695377WEBJun 24, 2021 · The distribution of multiscale pores and fractures in coal and rock is an important basis for reflecting the capacity of fluid flow in coal seam seepage passages. Accurate extraction and qualitative and quantitative analysis of porefracture structures are helpful in revealing the flow characteristics of fluid in seepage channels. The relationship .
WhatsApp: +86 18203695377WEBJun 16, 2020 · A petrographic coal structure of Late Permian coals from the Liupanshui coalfield, Western Guizhou, SW China, has been distinguished for its novel macrolithological characteristics. Petrographic, mineralogical and geochemical studies have been conducted for a typical coal sample ( coal, Songhe coalmine, Panzhou County, .
WhatsApp: +86 18203695377WEBDec 1, 2019 · Coal permeability is known to be affected by the sorptioninduced strain. Indeed, coal swells with gas sorption and shrinks with desorption, which is likely to modify the cleat aperture and thus the permeability. Coal permeability evolution is crucially important for either Coalbed Methane production (CBM) or Carbon dioxide Capture and .
WhatsApp: +86 18203695377WEBOct 15, 2019 · Appliion of imagebased diffusion coefficients in multiscale simulation of coalbed methane reservoirs ... Cleatscale characterisation of coal: An overview. Journal of Natural Gas Science and Engineering, Volume 39, 2017, pp. 143160 ... Porescale analysis of coal cleat network evolution through liquid nitrogen treatment: A Micro .
WhatsApp: +86 18203695377WEBNov 16, 2017 · 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 .
WhatsApp: +86 18203695377WEBNov 1, 2017 · Based on image processing technology and digital core modelling, a threedimensional shale digital core model was established. ... characterization of coal microstructure and associated coal ...
WhatsApp: +86 18203695377WEBJan 1, 2022 · Coal Cleat/Fracture Segmentation Using Convolutional Neural Networks. This study uses CNNbased methods to segment cleats/fractures of two types of coal samples: homogenous (with typical cleat system) and heterogeneous (with complex background and irregular fracture system). Expand.
WhatsApp: +86 18203695377WEBApr 7, 2021 · Image processing based characterisation of coal cleat networks. Article. Nov 2016 ... by analyzing the textural and color features of coal using image processing techniques and to assist in the ...
WhatsApp: +86 18203695377WEBDec 15, 2019 · Image processing based characterisation of coal cleat networks Int J Coal Geol, 169 ( 2017 ), pp. 1 21, / View PDF View article View in Scopus Google Scholar
WhatsApp: +86 18203695377WEBFigure 10 Distinction of skeleton sections based on orientation, a. face cleats and b. butt cleats. Each individual skeleton section is identified by a different colour in the binary image of sample E2 "Image processing based .
WhatsApp: +86 18203695377WEBMay 15, 2022 · 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 18203695377WEBJul 1, 1980 · 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 .
WhatsApp: +86 18203695377WEBAug 1, 2020 · During image processing, 1D line scanning and 2D plane analysis are usually conducted to obtain the morphological parameters of microfractures, such as aperture size, length, height, spacing, and density. ... Image processing based characterisation of coal cleat networks. Int. J. Coal Geol. (2017) Q. Cheng et al. The .
WhatsApp: +86 18203695377WEBDOI: / Corpus ID: ; Cleatscale characterisation of coal: An overview article{Mostaghimi2017CleatscaleCO, title={Cleatscale characterisation of coal: An overview}, author={Peyman Mostaghimi and Ryan T. Armstrong and Alireza Gerami and Yibing Hu and Yu Jing and Fatemeh Kamali and Min .
WhatsApp: +86 18203695377WEBDOI: / Corpus ID: ; Appliion of Xray computed tomography for analyzing cleat spacing and cleat aperture in coal samples article{Mazumder2006AppliionOX, title={Appliion of Xray computed tomography for analyzing cleat spacing and cleat aperture in coal samples}, author={S. Mazumder and .
WhatsApp: +86 18203695377WEBNov 16, 2017 · To 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 .
WhatsApp: +86 18203695377WEBMar 20, 2011 · Image processing based characterisation of coal cleat networks. ... Secondly, a CT image preprocessing methodical approach was developed. Furthermore, this paper proposed the gray level threshold ...
WhatsApp: +86 18203695377WEBImage processing based characterization of coal cleat networks. International Journal of Coal Geology (2017). link. 2016. H M D Harshani, S A GalindoTorres, A Scheuermann and H B Muhlhaus. Experimental study of porous media flow using hydrogel beads and LED based PIV. Measurement Science and Technology (2016), Volume 28, Number 1.
WhatsApp: +86 18203695377WEBJun 1, 2017 · Characterization of coalbed methane reservoirs is a challenging task because of complex petrophysical properties of coal. Coal cleat system has a key role in permeability of gas through coalbed.
WhatsApp: +86 18203695377WEBOct 1, 2015 · The coal beds that cleat network is well conductive to the connected fracture can be an improved target area for CBM production. During CBM production, a variety of flow regimes are available ...
WhatsApp: +86 18203695377WEBMar 1, 2017 · Its production is mainly controlled by the underlying fracture network of coal, called "cleats". The discrete fracture network (DFN) model is widely applied for characterising fracture networks due to its ability of accounting for physical geological parameters of cleats. ... The microCT image acquisition and processing are described .
WhatsApp: +86 18203695377WEBApr 13, 2022 · Coal rocks often contain calcite, which has a significant effect on the mechanical properties of coal and the energy evolution during rupture damage. In this study, the mesoscale of rock is considered, and the spatial distribution of the internal structure of coal is characterized by digital image technology. Uniaxial compression .
WhatsApp: +86 18203695377WEBDOI: / Corpus ID: ; Quantitative characterization of fracture structure in coal based on image processing and multifractal theory article{Guoxi2020QuantitativeCO, title={Quantitative characterization of fracture structure in coal based on image processing and multifractal theory}, author={Chen .
WhatsApp: +86 18203695377WEBEstimates 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 ...
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