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 .
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 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 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 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 18203695377WEBOct 18, 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 production and CO2 storage in deep coal seams. Considerable knowledge exists about coal chemical properties, but less is .
WhatsApp: +86 18203695377WEBAug 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 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 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 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 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 18203695377WEBTopological 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 18203695377WEBJun 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 18203695377WEBJun 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 .
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 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 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 18203695377WEBMay 1, 2019 · 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 · 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 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 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 A. G. Torres and Detlef Bringemeier and Alexander .
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