WEBNov 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 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 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 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 18203695377WEBMar 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 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 18203695377WEBJul 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 18203695377WEBNov 9, 2015 · Semantic Scholar extracted view of "XRay MicroComputed Tomography Imaging for Coal Characterization" by H. L. Ramandi et al. ... A threedimensional feature extractionbased method for coal cleat characterization using Xray μCT and its appliion to a Bowen Basin coal specimen ... Imagebased fracture pipe network .
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 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 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 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 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 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 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 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 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 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 .
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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 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 ... seam properties which in turn are fundamental for flow and geomechanical modelling in the context of underground coal mining ...
WhatsApp: +86 18203695377WEBApr 7, 2021 · Image processing based characterisation of coal cleat networks. Article. Nov 2016 ... by analyzing the textural and color features of coal using image processing techniques and to assist in the ...
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 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 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 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 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 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 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 .
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