Well type and pattern optimization method based on fine numerical simulation in coal-bed methane reservoir

Liu, Yikun; Wang, Fengjiao; Tang, Huimin; Liang, Shuang

doi:10.1007/s12665-015-4375-x

Cited by 17 publications

(11 citation statements)

References 26 publications

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“…e constitutive equation of coal Shock and Vibration hydraulic-mechanical-thermal coupling based on the theory of porous media can be expressed as [27,28]…”

Section: Control Equation Of Coalbed Stress Fieldmentioning

confidence: 99%

Numerical Simulation Research on Hydraulic Fracturing Promoting Coalbed Methane Extraction

Fan

Shu

Huo

et al. 2021

Shock and Vibration

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Although hydraulic fracturing technology has been comprehensively investigated, few scholars have studied the influence of hydraulic fracturing on the effect of coalbed methane (CBM) extraction, and few considered the interaction between water and CBM in the research process, which is not conducive to guiding the engineering design of hydraulic fracturing wells. In this work, a hydraulic-mechanical-thermal coupled model for CBM extraction in hydraulic fracturing well is established; it combines gas-liquid two-phase infiltration, where nonisothermal adsorption is also considered. The COMSOL Multiphysics software is used to carry out the numerical simulation study of the CBM extraction process in hydraulic fracturing well and analyze the influence of coalbed permeability, initial methane pressure, and fracture length on CBM extraction in hydraulic fracturing well, and the results show that the hydraulic-mechanical-thermal coupled model for CBM extraction can be used for CBM extraction research in hydraulic fracturing well. The initial coalbed permeability, initial gas pressure, and fracture length all affect the migration speed of CBM to surface well in different ways and have a greater impact on the CBM production rate of hydraulic fracturing well. The greater the initial coalbed permeability and methane pressure are, the longer the fracture length is and the greater the CMB production rate of hydraulic fracturing well is. The change trend of coalbed permeability during the extraction process of surface fracturing well is directly related to the state of the reservoir. The factors of stress, temperature, and CBM desorption jointly determine the increase or decrease of coal seam permeability.

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“…e constitutive equation of coal Shock and Vibration hydraulic-mechanical-thermal coupling based on the theory of porous media can be expressed as [27,28]…”

Section: Control Equation Of Coalbed Stress Fieldmentioning

confidence: 99%

Numerical Simulation Research on Hydraulic Fracturing Promoting Coalbed Methane Extraction

Fan

Shu

Huo

et al. 2021

Shock and Vibration

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“…Based on the random distribution characteristics of internal defects in coal rock in literature [26], the statistical mechanics model of coal rock loss under the action of supporting pressure is established, and the calculation formula of coal seam mining height is determined. e formula has many parameters and it is difficult to choose, but it can be seen that the depth of the coal wall slab side increases linearly with the mining height, and the mining height can be determined according to the allowable slice side amount.…”

Section: Theoretical Analysismentioning

confidence: 99%

Research on the Influence of Mining Height on the Movement Characteristics of Overlying Strata during Extremely Thick Coal Seam Fully Mechanized Sublevel Caving Mining

Yang

Wei

Wang

2021

Advances in Civil Engineering

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The study of the effects of mining height on overlying strata movement and underground pressure characteristics during extremely thick coal seam fully mechanized sublevel caving mining is very important for choosing the reasonable mining height and the support. Based on the geological setting and mining conditions at the Xiegou Coal Mine, the results of the physical simulation test and the numerical simulation technology will be used. Some conclusions can be drawn as follows: (1) With the mining height increase, the top coal gradually converted from tensile failure to shear damage, and the coal wall gradually transformed from shear failure to tensile damage. (2) When the mining height is 7.5 m, the full-seam collapse distance, the immediate first weighting interval, and the main roof first weighting length are shorter than that when the mining height is 4m, and the periodic weighting length for the two mining heights is almost the same. (3) With mining height increase, the initial mining stage and the transition stage become shorter, and the production rates become better. (4) The law of the abutment pressure peak and the sphere of influence increase slightly, and the working resistance of support needed to be strengthened. (5) The subsidence quantity of the top coal in the control area increases along with the mining height in a quadratic polynomial way but decreases along with the initial supporting force in a negative logarithmic rule. (6) After assigning the subsidence, the regression relation between the initial supporting force and the mining height is a quadratic polynomial.

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“…Methane is categorized as an important greenhouse gas. To protect the atmosphere, it is important that methane is extracted effectively [26]. However, reality dictates that during the process of mining, a considerable amount of coal mine methane just be discharged into the atmosphere through the ventilation system, meaning some of the unused extracted methane is also released [9].…”

Section: Of 15mentioning

confidence: 99%

Research on the Method of Methane Emission Prediction Using Improved Grey Radial Basis Function Neural Network Model

Yang

Wang

et al. 2020

Energies

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Effectively avoiding methane accidents is vital to the security of manufacturing minerals. Coal mine methane accidents are often caused by a methane concentration overrun, and accurately predicting methane emission quantity in a coal mine is key to solving this problem. To maintain the concentration of methane in a secure range, grey theory and neural network model are increasingly used to critically forecasting methane emission quantity in coal mines. A limitation of the grey neural network model is that researchers have merely combined the conventional neural network and grey theory. To enhance the accuracy of prediction, a modified grey GM (1,1) and radial basis function (RBF) neural network model is proposed, which combines the amended grey GM (1,1) model and RBF neural network model. In this article, the proposed model is put into a simulation experiment, which is built based on Matlab software (MathWorks.Inc, Natick, Masezius, U.S). Ultimately, the conclusion of the simulation experiment verified that the modified grey GM (1,1) and RBF neural network model not only boosts the precision of prediction, but also restricts relative error in a minimum range. This shows that the modified grey GM (1,1) and RBF neural network model can make more effective and precise predict the predicts, compared to the grey GM (1,1) model and RBF neural network model.

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Well type and pattern optimization method based on fine numerical simulation in coal-bed methane reservoir

Cited by 17 publications

References 26 publications

Numerical Simulation Research on Hydraulic Fracturing Promoting Coalbed Methane Extraction

Numerical Simulation Research on Hydraulic Fracturing Promoting Coalbed Methane Extraction

Research on the Influence of Mining Height on the Movement Characteristics of Overlying Strata during Extremely Thick Coal Seam Fully Mechanized Sublevel Caving Mining

Research on the Method of Methane Emission Prediction Using Improved Grey Radial Basis Function Neural Network Model

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