WEBEstimates 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 ...
WEBOct 1, 2019 · 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 ...
WEBOct 1, 2015 · A workflow for extracting coal cleats, including sample preparation, image acquisition, and image processing has been established (Ramandi et al., 2015;Mostaghimi et al., 2017). ...
WEBDOI: / 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 .
WEBImage 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.
WEBApr 21, 2022 · A forwardperceptive neural network model based on a convolutional neural network and attentionbased layer structure that enhances the noise reduction capability of classical neural networks by forward perceptive design and uses pixellevel perceptual neurons to ensure that the distribution of effective pixel points is not affected during the .
WEBJul 8, 2020 · 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 loed in the South Palembang Subbasin. In this region, there are four to five coal seams dipping to the SW direction.
WEBDec 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
WEBAug 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 .
WEBJun 1, 2018 · 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 ...
WEBDOI: / 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 .
WEBMay 1, 2022 · A 3D digital coal model with macropores (> μm) was constructed by using μCT scanning combined with Avizo image processing, and the equivalent pore network model (PNM) was extracted to ...
WEBAug 27, 2017 · 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 ...
WEBDec 13, 2019 · Request PDF | Porescale analysis of coal cleat network evolution through liquid nitrogen treatment: A MicroComputed Tomography investigation | Coalbed methane extraction suffers from low ...
WEBFigure 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 .
WEBNov 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 ...
WEBMar 1, 2019 · In this study, the fracture pattern is described by a Sierpinski carpet, which is a plane fractal that contains a selfsimilar geometric pattern of holes. This specific fractal pattern has been ...
WEBTopological characterization of fractured coal. Y Jing, RT Armstrong, HL Ramandi, P Mostaghimi. Journal of Geophysical research: solid earth 122 (12), ., 2017. 37. 2017. A hybrid fracturemicropore network model for multiphysics gas flow in coal.
WEBOct 3, 2019 · The formation of cleats in coal has started to occur by many mechanisms in various periods of coal, but the presence of one mayor fault and three minor faults trending NESW in the mine pit are ...
WEBDOI: / 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 .
WEBFigure 11 Overlap of the original binary image (green) with the extracted, reconnected and grouped features (red) for a. butt cleat and b. face cleat orientation of sample E2 "Image processing based characterisation of coal cleat networks"
WEBNov 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 .
WEBselect 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.
WEBDOI: / 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 .
WEBMay 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.
WEBAug 1, 2020 · Though no direct permeability calculation is involved in the preprocessing. ... Image processing based characterisation of coal cleat networks. Int. J. Coal Geol. (2017) ... Due to a limited number of research dedied to imagebased porescale modelling in coal, we develop a hybrid numerical model that combines the Hagen .
WEBJun 1, 2010 · Semantic Scholar extracted view of "Controls on coal cleat spacing" by G. Dawson et al. ... Image processing based characterisation of coal cleat networks ... is an unconventional energy resource, whereby production is mainly controlled by the underlying fracture networks, known as "cleats". The natural cleats are generally .
![Visualisation of [11C]CO2 storage in coal with positron emission ...](/endw6fs/154.jpg)
WEBAug 22, 2023 · This work develops an imagebased 3D fracture network model, called Fracture Box Model (FBNM). ... models can preserve the topological properties of the coal cleat network found in microCT data ...
WEB2017. TLDR. A characterisation framework is developed to determine if the developedDFN models can preserve the topological properties of the coal cleat network found in microCT data and it is concluded that the topology of the DFN models are closer to that of the realistic cleat networks that do not have segmentationinduced pores. Expand.
WEBAug 1, 2020 · An image processing technique was used to obtain highresolution fracture images (with an actual resolution of approximately 2 μm), followed by the statistics of the porosity parameters such as microfracture density, intersection point density, and plane areal porosity. ... Image processing based characterisation of coal cleat networks. .
WEBDec 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 .
WEBOct 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 .
WEBNov 9, 2015 · 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 appliion to a Bowen Basin coal specimen ... Imagebased fracture pipe network .
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