WEBDOI: / 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 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 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 18203695377WEBOct 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 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 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 18203695377WEBJan 1, 2022 · Coal Cleat/Fracture Segmentation Using Convolutional Neural Networks. This study uses CNNbased methods to segment cleats/fractures of two types of coal samples: homogenous (with typical cleat system) and heterogeneous (with complex background and irregular fracture system). Expand.
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 18203695377WEBJul 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 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 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 .
WhatsApp: +86 18203695377WEBOct 1, 2015 · The coal beds that cleat network is well conductive to the connected fracture can be an improved target area for CBM production. During CBM production, a variety of flow regimes are available ...
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 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 18203695377WEBDec 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 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 18203695377WEBNov 16, 2017 · To characterize the geometry of the cleat network, Jing et al. have developed a quantitative image analyzing method to measure its geometrical properties based on the microCT images of coal, including cleat shape, orientation, length, spacing, and aperture size. They further construct discrete fracture network (DFN) realizations .
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 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 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 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 18203695377WEBJan 1, 2004 · 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 ...
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