• Chinese Core Periodicals
  • Chinese Core Journals of Science and Technology
  • RCCSE Chinese Authoritative Academic Journals
Email Alert RSS
Advanced Search
DENG Peng, CHENG Bo, YANG Sen, PENG Minghui. Research Progress on Determination Method of Hydrogen Sulfide Content in Underground Coal Seam[J]. Safety in Coal Mines, 2019, 50(5): 172-175.
Citation: DENG Peng, CHENG Bo, YANG Sen, PENG Minghui. Research Progress on Determination Method of Hydrogen Sulfide Content in Underground Coal Seam[J]. Safety in Coal Mines, 2019, 50(5): 172-175.
shu

Research Progress on Determination Method of Hydrogen Sulfide Content in Underground Coal Seam

More Information
  • Published Date: May 19, 2019
    Graphical Abstract
    • Abstract
  • The content of hydrogen sulfide in coal seam is the foundation of harmful gas treatment in mine. Especially in the process of coal seam gas drainage, there is a high degree of dependence between the content of hydrogen sulfide and the extraction process. The lack of cognition of hydrogen sulfide concentration field under different space-time scales often leads to the one-sided evaluation of the threat degree of hydrogen sulfide disaster, so the determination of hydrogen sulfide content in coal seam in coalmine is of great theoretical and practical significance to clarify the law of harmful gas distribution. This paper systematically reviews the determination methods of hydrogen sulfide content in coal seam of coalmine, points out the applicable conditions, advantages and disadvantages, shows suitable technologies for hydrogen sulphide gas sensing and detection, equipment and characteristics of hydrogen sulphide gas adsorbed by coal, and clarifies the flow laws of hydrogen sulfide gas of multi-component gas under different water content conditions, and studies the sampling method of “fidelity” in coal mine. The construction of hydrogen sulfide concentration field under different temporal and spatial scales will become a research hotspot in the future.
    • FullText(HTML)
    • References (15)
  • [1]
    刘明举,李国旗,HANI Mitri,等.煤矿硫化氢气体成因类型探讨[J].煤炭学报,2011,36(6):978-983.
    [2]
    代世峰,艾天杰,焦方立,等.内蒙古乌达矿区煤中硫的同位素组成及演化特征[J].岩石学报,2000(2):269-274.
    [3]
    傅雪海,王文峰,岳建华,等.枣庄八一矿瓦斯中H2S气体异常成因分析[J].煤炭学报,2006(2):206-210.
    [4]
    刘奎.综掘工作面硫化氢分布规律及泡沫治理技术[J].煤炭科学技术,2017,45(2):71-75.
    [5]
    刘奎.综放工作面硫化氢分布规律及治理技术研究[J].矿业安全与环保,2016,43(2):13-18.
    [6]
    张戈,刘奎,孙秉成,等.急倾斜特厚煤层硫化氢涌出影响因素分析及控制技术[J].煤矿安全,2016,47(4):80-84.
    [7]
    J Luo, H Yang, T Wu, et al. In-Depth Colloidal Dispersion Gels Improve Oil Recovery Efficiency[J]. Global Geology, 2000, 3(2): 207-209.
    [8]
    程波,叶佩鑫,隆清明,等.煤基质收缩效应和有效应力对煤层渗透率影响的新数学模型[J].矿业安全与环保,2010,37(2):1-3.
    [9]
    范凯祥.高含硫煤矿注碱固硫和瓦斯抽采协同优化研究[D].成都:西南石油大学,2016.
    [10]
    魏俊杰.煤层硫化氢含量测试装置及测试方法研究[D].焦作:河南理工大学,2015.
    [11]
    邹银辉,张庆华.我国煤矿井下煤层瓦斯含量直接测定法的技术进展[J].矿业安全与环保,2009,36(S1):180-182.
    [12]
    向衍斌,程波,贺福权.煤粒瓦斯扩散特性的研究现状与进展[J].矿业安全与环保,2017,44(6):88-91.
    [13]
    范方禄,靖金球,陈雪梅.一种可视化检测硫化氢的苯并噻唑类荧光增强型探针[J].有机化学,2014,34(10):2178-2183.
    [14]
    周婵,邱波,曾毅,等.一种荧光增强的反应型硫化氢荧光探针[J].有机化学,2017,37(1):92-96.
    [15]
    唐东林,柯志军,代志勇,等.油气田硫化氢气体浓度光纤消逝场传感检测技术[J].石油学报,2016,37(1):106-110.
    • Related Articles

  • Related Articles

    [1]YU Yongpeng, MAO Xingjun, YAN Jianbo, WANG Jiawen, YANG Yancheng, QU Bo, FENG Feng. Design and practice of coal mine geological emergency rescue information system[J]. Safety in Coal Mines, 2024, 55(1): 216-224. DOI: 10.13347/j.cnki.mkaq.20230536
    [2]SUN Yunchuan. Design and implementation of 3D mine digitizing editing system based on Unity3D[J]. Safety in Coal Mines, 2023, 54(8): 247-251.
    [3]MA Zunyun. Design and implementation of visual field command system for coal mine emergency rescue[J]. Safety in Coal Mines, 2022, 53(2): 130-135.
    [4]LIU Yunqiu. Adjustment Analysis and Decision of Ventilation System in Yujialiang Coal Mine[J]. Safety in Coal Mines, 2018, 49(S1): 71-75.
    [5]WANG Hairong, FENG Weibing, WANG Weifeng. Risk Decision Evaluation for Emergency Rescue of Mine Gas Explosion Based on Vague Set[J]. Safety in Coal Mines, 2018, 49(12): 151-154,159.
    [6]LI Wenfeng, WANG Xiaohui. Management System of Equipment Used for Emergency Rescue in the Age of Cloud[J]. Safety in Coal Mines, 2017, 48(11): 116-118.
    [7]LI Jun-tao, GUO De-yong, DI Xue-qin. Study on Method of Coal Mine Gas Accident Emergency Decision Making[J]. Safety in Coal Mines, 2012, 43(12): 225-228.
    [8]ZHOU Tian-pei, SUN Wei. Application of Data Mining System Based on Rough Set in Safety Decision-making[J]. Safety in Coal Mines, 2012, 43(9): 218-221.
    [9]WANG Ge, LIU Yong-li, FENG Jun-jie. Study on Mine Emergency Rescue and Command Decision System Model Based on Multi Agent Technology[J]. Safety in Coal Mines, 2012, 43(5): 74-76.
    [10]LI Ying-hua, ZHANG Ren-wei, BI Yan-feng, DAI Xiao-liang, JIA Hong-yan. Research and Application of Decision-making System in Mine Fire[J]. Safety in Coal Mines, 2012, 43(3): 15-17.

Catalog

    Get Citation
    XML
    Article views (150) PDF downloads (0) Cited by()
    Turn off MathJax
    Article Contents
    Abstract
    References
    Related Articles
    Links

    辽公网安备 21049802000106号　辽ICP备11020636号-9

    Website Copyright © CCTEG Shenyang Research Institute

    Address：No. 11 Binhe Road, Fushun Economic Development Zone, Liaoning　Postal Code：113122

    Tel：024-56616988/56616881　Email：mkaq@163.com

    Supported by: Beijing Renhe Information Technology Co., Ltd.  Baidu Analytics

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return