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CHEN Pan, WANG Zeqi. Influencing Factors Analysis of Coal Permeability Improvement Under the Action of Supercritical CO2[J]. Safety in Coal Mines, 2020, 51(9): 192-195.
Citation: CHEN Pan, WANG Zeqi. Influencing Factors Analysis of Coal Permeability Improvement Under the Action of Supercritical CO2[J]. Safety in Coal Mines, 2020, 51(9): 192-195.

Influencing Factors Analysis of Coal Permeability Improvement Under the Action of Supercritical CO2

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  • Published Date: September 19, 2020
  • In order to study the specific influencing factors of coal permeability enhancement under the action of supercritical CO2, this paper uses the control variable method to change the factors such as gas pressure, temperature and time of coal permeability enhancement during the experiment, and discusses the best effect of the above factors on coal permeability enhancement by supercritical CO2. The experimental results show that the effect of supercritical CO2 reaches the peak value when the action time of supercritical CO2 is 10 h, and the reason is analyzed: after 10 h of extraction, supercritical CO2 fully contacts with the coal body, and the lipids and organic compounds and hydrocarbons inside the coal body are completely extracted; under the condition of certain action time and temperature, the effect of action pressure at 9.5 MPa is the best, and the permeability reaches to the maximum when the action time and pressure are fixed, with the increase of temperature, the permeability of coal body increases first and then decreases after the action of supercritical CO2. When the action temperature is 45 ℃, it reaches the maximum value.
  • [1]
    Bo Li, Lulu Zhang, Jianping Wei,et al.Pore Damage Properties and Permeability Change of Coal Caused by Freeze-Thaw Action of Liquid Nitrogen[J]. Advances in Civil Engineering,2018(2018): 1-9.
    [2]
    Bo Li, Junxiang Zhang, Jianping Wei, et al. Preparation and Sealing Performance of a New Coal Dust Polymer Composite Sealing Material[J]. Advances in Materials Science and Engineering, 2018, 7(6): 1-10.
    [3]
    Sidiq H, Amin R, Vander Steen E, et al. Super critical CO2-methane relative permeability investigation[J]. Journal of Petroleum Science and Engineering, 2011, 78: 654-663.
    [4]
    张超,李兆敏,张东.超临界CO2驱对储层物性影响的实验研究[J].西南石油大学学报(自然科学版), 2013(5):94-98.
    [5]
    Wang H, Li G, Shen Z. A Feasibility Analysis on Shale Gas Exploitation with Supercritical Carbon Dioxide[J]. Energy Sources Part A Recovery Utilization & Environmental Effects, 2012, 34(15): 1426-1435.
    [6]
    Hu Y, Kang Y, Wang X, et al. Experimental and theoretical analysis of a supercritical carbon dioxide jet on wellbore temperature and pressure[J]. Journal of Natural Gas Science &Engineering, 2016, 36: 108-116.
    [7]
    Yin H, Zhou J, Jiang Y, et al. Physical and structural changes in shale associated with supercritical CO2 exposure[J]. Fuel, 2016, 184: 289-303.
    [8]
    张倍宁.超临界CO2在不同阶煤层中的渗流规律及煤体变形特征研究[D].太原:太原理工大学,2019.
    [9]
    岳立新.超临界CO2作用下煤微观结构演化及增透规律研究[D].阜新:辽宁工程技术大学,2018.
    [10]
    岳立新,孙可明,郝志勇.超临界CO2提高煤层渗透性的增透规律研究[J].中国矿业大学学报,2014(2):319-324.
    [11]
    杨涛,杨栋,康志勤,等.注入超临界CO2对提高煤层渗透性的影响[J].煤炭科学技术,2010,38(4):108.
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