• 中文核心期刊
  • 中国科技核心期刊
  • RCCSE中国核心学术期刊

煤层气开采钻井工程关键影响因素识别研究

冯立杰, 江涛, 岳俊举, 王金凤

冯立杰, 江涛, 岳俊举, 王金凤. 煤层气开采钻井工程关键影响因素识别研究[J]. 煤矿安全, 2018, 49(12): 177-180.
引用本文: 冯立杰, 江涛, 岳俊举, 王金凤. 煤层气开采钻井工程关键影响因素识别研究[J]. 煤矿安全, 2018, 49(12): 177-180.
FENG Lijie, JIANG Tao, YUE Junju, WANG Jinfeng. Identification of Key Influencing Factors of CBM Drilling Engineering[J]. Safety in Coal Mines, 2018, 49(12): 177-180.
Citation: FENG Lijie, JIANG Tao, YUE Junju, WANG Jinfeng. Identification of Key Influencing Factors of CBM Drilling Engineering[J]. Safety in Coal Mines, 2018, 49(12): 177-180.

煤层气开采钻井工程关键影响因素识别研究

Identification of Key Influencing Factors of CBM Drilling Engineering

  • 摘要: 针对我国煤层气开采受到众多复杂钻井工程因素影响的问题,构建了钻井工程关键因素识别分析模型并进行了分析。首先从煤井条件、工艺技术、钻井设备及材料和人员素质等4个方面建立了煤层气开采钻井工程的原始影响因素指标,并采用粗糙集理论剔除了具有重复性信息的指标,在此基础上采用区间灰数理论和DEMATEL模型相结合的方法求解各影响指标的中心度和原因度,进而分析并筛选了影响钻井工程的关键要素。
    Abstract: Aiming at the problem that the exploitation of coalbed methane in China is influenced by many complex drilling engineering factors, the key drilling engineering factor identification model is constructed and analyzed. Firstly, the original influencing factors index of drilling engineering of coalbed methane exploitation are constructed from four aspects: coal-well condition, process technology, drilling equipment, material and personnel quality, and the rough set theory is used to eliminate the index with repetitive information, the combination method of interval gray number theory and DEMATEL model is used to calculate the center degree and cause degree of each influence index, then the key influence factors of drilling engineering are analyzed and screened.
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  • 发布日期:  2018-12-19

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