WEBImage 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 18203695377
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 ...
WhatsApp: +86 18203695377
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.
WhatsApp: +86 18203695377
WEBNov 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 18203695377
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 .
WhatsApp: +86 18203695377
WEBDOI: / Corpus ID: ; Coal cleat reconstruction using microcomputed tomography imaging article{Jing2016CoalCR, title={Coal cleat reconstruction using microcomputed tomography imaging}, author={Yu Jing and Ryan T. Armstrong and Hamed Lamei Ramandi and Peyman Mostaghimi}, journal={Fuel}, .
WhatsApp: +86 18203695377
WEBOct 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 18203695377
WEBAug 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 18203695377
WEBImage processingbased characterisation of coal cleat networks. International Journal of Coal Geology 169, 1–21. | Image processingbased characterisation of coal cleat networks. Crossref | GoogleScholar Google Scholar | Connell LD, Mazumder S, Marinello S, Sander R, Camilleri M, Pan Z, Heryanto D (2013). Characterisation of Bowen Basin .
WhatsApp: +86 18203695377
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 .
WhatsApp: +86 18203695377
WEBThe 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 18203695377
WEBOct 1, 2018 · Image processing based characterization of coal cleat networks Int. J. Coal Geol., 169 ( 2017 ), pp. 1 21 View PDF View article View in Scopus Google Scholar
WhatsApp: +86 18203695377
WEBJan 12, 2007 · Coal is highly heterogeneous in nature, and for this reason, several analytical techniques are needed for its characterization so as to accurately predict its behavior during conversion processes such as combustion, gasifiion, or liquefaction. Conventional analyses such as proximate analysis, ash analysis, and ash fusion .
WhatsApp: +86 18203695377
WEBMar 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 18203695377
WEBJul 8, 2020 · Image 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 ...
WhatsApp: +86 18203695377
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.
WhatsApp: +86 18203695377
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 .
WhatsApp: +86 18203695377
WEBMar 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 18203695377![Visualisation of [11C]CO2 storage in coal with positron emission ...](/rk82qa3/327.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 ...
WhatsApp: +86 18203695377
WEBJun 25, 2015 · Image processing based characterisation of coal cleat networks ... the context of underground coal mining. Cleat and cleat network geometry can be described as a function of frequency, aperture ...
WhatsApp: +86 18203695377
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 .
WhatsApp: +86 18203695377
WEBJun 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 18203695377
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). ...
WhatsApp: +86 18203695377
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. .
WhatsApp: +86 18203695377
WEBMay 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 18203695377
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"
WhatsApp: +86 18203695377
WEBApr 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 18203695377
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.
WhatsApp: +86 18203695377
WEBJun 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 18203695377
WEBMay 13, 2022 · Image processingbased characterisation of coal cleat networks. International Journal of Coal Geology 169, 1–21. | Image processingbased characterisation of coal cleat networks. Crossref | GoogleScholar Google Scholar | Connell LD, Mazumder S, Marinello S, Sander R, Camilleri M, Pan Z, Heryanto D .
WhatsApp: +86 18203695377
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 .
WhatsApp: +86 18203695377
WEBJun 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 18203695377
A material supplier from Belgium would like to produce limestone powder for his custome...
India is rich in various mineral resources and it is an important mineral processing market
Copyright © 2023 GMC Co., Ltd. SiteMap
