A fully multifield coupling model of gas extraction and air leakage for in-seam borehole

Zhang, Junxiang; Liu, Yanwei; Ren, Peiliang; Han, Hongkai; Zhang, Shuai

doi:10.1016/j.egyr.2021.02.037

Cited by 25 publications

(13 citation statements)

References 30 publications

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“…At present, great progress has been made in the research on gas drainage in the same goaf, and it has also been widely used in practice. Zhang et al established a two-medium coupled model in order to study the multiphase multifield coupling problem of gas drainage, which has described the gas-air mixture flow by considering the influence of matrix shrinkage and effective stress on coal permeability [1]. Evanoski-Cole et al measured winter aerosols and aerosol precursors in national parks and found regional elevated PM2.5 concentrations in the Bakken region [2].…”

Section: Related Workmentioning

confidence: 99%

Intelligent Evaluation Method of Pressure Relief Gas Drainage in Goaf Based on IoT Perception

Cao

2022

Scientific Programming

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The pressure relief gas drainage in goaf is the main control method of mine gas. This paper has been designed to study how to analyze and study the gas drainage of goaf pressure relief based on the perception layer of the Internet of Things. The intelligent evaluation of pressure relief gas drainage in goaf is described. This paper has raised the problem of gas extraction, which is based on the Internet of Things, so it has elaborated on the data-level fusion-related algorithms for sensing coal mine safety, and the case design and analysis of the prediction model and intelligent evaluation have been carried out. Aiming at the problem of intelligent grading of gas drainage evaluation in goaf, data preprocessing is performed on the drainage metering data. Using a deep learning evaluation method based on a convolutional neural network (CNN), an intelligent evaluation model is constructed for gas extraction. Compared with the classification model of the shallow neural network, the CNN classification model is more suitable for gas intelligence evaluation and has higher accuracy due to the good learning ability and accuracy of the deep neural network. When the learning rate is 0.1 and the batch is 256, the prediction effect of the CNN pressure relief gas intelligent classification model is the best, which can effectively provide classification results.

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Section: Related Workmentioning

confidence: 99%

Intelligent Evaluation Method of Pressure Relief Gas Drainage in Goaf Based on IoT Perception

Cao

2022

Scientific Programming

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“…According to the fracture plate model, the model of coal permeability under the combined effects of effective stress and adsorption swelling effect can be expressed by Kozeny–Carman equation. 37 …”

Section: Dynamic Evolution Mechanism Of Coal Permeability During Ch ...mentioning

confidence: 99%

A dynamic evolution model of coal permeability during enhanced coalbed methane recovery by N₂ injection: experimental observations and numerical simulation

Zhang

Ding

et al. 2021

RSC Adv.

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“…Zhou et al (2016) established the mathematical models of air leakage in holes and fractures outside holes, and verified them through field measurement. Zhang et al (2021) developed an improved sealing technology, which can fully seal the various fractures around the borehole for improving gas extraction. Liu et al (2020) propose a new sealing method that integrates cement grouting and gel injection.…”

Section: Introductionmentioning

confidence: 99%

Study on the influence mechanism of air leakage on gas extraction in extraction boreholes

Xue-bo

Gao

Jia

et al. 2022

Energy Exploration & Exploitation

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Borehole leakage is an important cause of gas extraction failure. In order to study the influence mechanism of borehole leakage on gas extraction, the borehole air leakage mode was studied, and a mathematical model was established to describe the borehole air leakage of the gas extraction. In addition, this paper also analyzed the change rules of borehole air leakage and gas extraction effect at different borehole sealing depth, negative extraction pressure, degree of fracture development and borehole sealing quality. Research shows that: (1) The hole sealing depth has a certain influence on the borehole air leakage and the gas extraction effect. As the hole sealing depth increased, the borehole air leakage gradually decreased. Moreover, the net amount of gas extraction gradually decreased, but the gas extraction concentration increased to some extent, and the increasing range gradually decreased. The reasonable sealing depth of this coal seam was 9∼10 m. (2) The negative pressure of borehole extraction has little influence on borehole air leakage and gas extraction. With the increase of the negative extraction pressure, the gas extraction net amount and borehole air leakage both increased, but the gas extraction concentration decreased. In the later stage of the gas extraction, the negative pressure can be properly reduced to improve the gas extraction effect. (3) The borehole sealing quality has a great influence on the borehole air leakage and gas extraction effect. With the improvement of the sealing quality, the coal-rock permeability gradually decreased. Moreover, the borehole air leakage significantly reduced, and the gas extraction concentration increased significantly. Therefore, attention should be paid to the selection and improvement of sealing materials and sealing techniques in the actual production so that the airtightness and sealing quality of the hole sealing section can be improved.

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A fully multifield coupling model of gas extraction and air leakage for in-seam borehole

Cited by 25 publications

References 30 publications

Intelligent Evaluation Method of Pressure Relief Gas Drainage in Goaf Based on IoT Perception

Intelligent Evaluation Method of Pressure Relief Gas Drainage in Goaf Based on IoT Perception

A dynamic evolution model of coal permeability during enhanced coalbed methane recovery by N₂ injection: experimental observations and numerical simulation

Study on the influence mechanism of air leakage on gas extraction in extraction boreholes

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A fully multifield coupling model of gas extraction and air leakage for in-seam borehole

Cited by 25 publications

References 30 publications

Intelligent Evaluation Method of Pressure Relief Gas Drainage in Goaf Based on IoT Perception

Intelligent Evaluation Method of Pressure Relief Gas Drainage in Goaf Based on IoT Perception

A dynamic evolution model of coal permeability during enhanced coalbed methane recovery by N2 injection: experimental observations and numerical simulation

Study on the influence mechanism of air leakage on gas extraction in extraction boreholes

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A dynamic evolution model of coal permeability during enhanced coalbed methane recovery by N₂ injection: experimental observations and numerical simulation