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WhatsApp: +86 18203695377WEBMar 1, 2017 · 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. .
WhatsApp: +86 18203695377WEBApr 2, 2024 · Imagebased automatic fracture extraction methods have many practical appliions in geological and engineering. Fracture identifiion and quantitative characterization require the means of interpreting and statistically analyzing image data. In comparison to traditional digital image processing methods, supervised semantic .
WhatsApp: +86 18203695377WEBAug 27, 2021 · Abstract Accurate characterization of the initiation of hydraulic fractures is crucial for understanding the formation of multiple hydraulic fracture networks in coal seams in coalbed methane extraction and disaster prevention. To this end, hydraulic fracturing has been extensively employed in the reservoir stimulation of shale and .
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 18203695377WEBAug 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 ...
WhatsApp: +86 18203695377WEBJun 18, 2021 · Terdapat dua jenis cleat pada batubara, yaitu face cleat dan butt cleat, namun pada penelitian ini akan lebih memfokuskan penelitian pada face cleat. Penelitian terdahulu mengenai cleat pada umumnya lebih mengarah pada pengaruhnya terhadap keterbentukan CBM, namun belum ada yang membahas mengenai hubungan .
WhatsApp: +86 18203695377WEBImage 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 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 ...
WhatsApp: +86 18203695377WEBJun 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 ...
WhatsApp: +86 18203695377WEBJun 4, 2021 · 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 169:1–21. Google Scholar
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 18203695377WEBNov 7, 2016 · Abstract. Coal seam gas is an unconventional resource for natural gas that is becoming popular due to its. environmental benefit and abundance. This paper reviews recent developments on the pore ...
WhatsApp: +86 18203695377WEBMay 1, 2023 · 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 ...
WhatsApp: +86 18203695377WEBJun 15, 2020 · This paper develops the framework of constructing imagebased Fracture Pipe Network Model (FPNM) for fractured coal samples to efficiently estimate the permeability. Using Xray microCT imaging, internal fracture network of coal samples can be visualised nondestructively, providing accurate fracture data as input for FPNM .
WhatsApp: +86 18203695377WEBDOI: / Corpus ID: ; Characterizing coal cleats from optical measurements for CBM evaluation article{Weniger2016CharacterizingCC, title={Characterizing coal cleats from optical measurements for CBM evaluation}, author={S. Weniger and Philipp Weniger and Ralf Littke}, journal={International Journal .
WhatsApp: +86 18203695377WEBJun 15, 2020 · This paper develops the framework of constructing imagebased Fracture Pipe Network Model (FPNM) for fractured coal samples to efficiently estimate the permeability. ... Cleatscale characterisation of coal: an overview. J. Nat. Gas Sci. Eng., 39 ... Image Processing Toolbox User's Guide (R2016b). 2015 [cited Revised for .
WhatsApp: +86 18203695377WEBJul 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.
WhatsApp: +86 18203695377WEBDec 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 ...
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 18203695377WEBAug 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 .
WhatsApp: +86 18203695377WEBOct 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 ...
WhatsApp: +86 18203695377WEBGalindo 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 Appliions 5 (12) (2015), 38 ...
WhatsApp: +86 18203695377WEBDOI: / 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 .
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 18203695377WEBMar 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 ...
WhatsApp: +86 18203695377WEB2017. 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.
WhatsApp: +86 18203695377WEBFigure 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 18203695377WEBMar 1, 2017 · To address this issue, an imageprocessing workflow is introduced that begins with unpaired domain transfer by cycleconsistent adversarial network, which is used to transfer synchrotronbased ...
WhatsApp: +86 18203695377WEBJul 1, 2019 · The main purpose of image processing is to perform various processing operations on the image to improve its visual effect and lay the foundation for subsequent target recognition. ... It should be noted that the natural cleat of coal has an effect on the gas permeation system, and the corresponding calculation model should be changed ...
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 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 18203695377WEBThe marked area in b is shown in Figure 8. "Image processing based characterisation of coal cleat networks" Figure 7 a. Dilated and b. eroded binary image of sample E2. ... {Image processing based characterisation of coal cleat networks}, author={Julia Busse and JeanRaynald de Dreuzy and Sergio A. G. Torres and Detlef Bringemeier and ...
WhatsApp: +86 18203695377WEBOct 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 ...
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