WEBJul 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 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 18203695377WEBFigure 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 .
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 18203695377WEBFigure 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"
WhatsApp: +86 18203695377WEBAug 1, 2020 · Semantic Scholar extracted view of "Quantitative characterization of fracture structure in coal based on image processing and multifractal theory" by Chen Guoxi et al.
WhatsApp: +86 18203695377WEBJun 1, 2012 · The potential of a new procedure of image processing for the characterization of a given combustion state through flame visualization is here presented and discussed. Experimental tests were carried out in a swirlstabilized, semiindustrial scale burner of 500 kW th. Using an advanced vision based system, flame images have .
WhatsApp: +86 18203695377WEBOct 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). ...
WhatsApp: +86 18203695377WEBOct 3, 2019 · 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.
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 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 18203695377WEBImage processing based characterisation of coal cleat networks ... modelling in the context of underground coal mining. Cleat and cleat network geometry can be described as a function of frequency ...
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 18203695377WEBDec 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 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 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 ...
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 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 18203695377WEBMay 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 ...
WhatsApp: +86 18203695377WEBJul 1, 2020 · After a general analysis regarding the concept of coal "cleat system", its genetic origin and practical appliions to coalbed methane (CBM) commercial production and to CO2 geological ...
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 18203695377WEBDeep architecture neural networkbased realtime image processing for imageguided radiotherapy. ... Image processing based acrylamide detection from fried potato chip images using continuous wavelet transform. ... Image processing based characterisation of coal cleat networks.
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 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 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 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 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 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 18203695377WEBAug 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 ...
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 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 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 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 .
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