JU Wei, TAO Shu, YANG Zhaobiao, CHENG Jiayao, SHANG Haiyan, NING Weike, WU Chunlong. Current status and development trends of deep coalbed methane research in China[J]. PETROLEUM GEOLOGY & EXPERIMENT, 2025, 47(1): 9-16. doi: 10.11781/sysydz2025010009
Citation: JU Wei, TAO Shu, YANG Zhaobiao, CHENG Jiayao, SHANG Haiyan, NING Weike, WU Chunlong. Current status and development trends of deep coalbed methane research in China[J]. PETROLEUM GEOLOGY & EXPERIMENT, 2025, 47(1): 9-16. doi: 10.11781/sysydz2025010009

Current status and development trends of deep coalbed methane research in China

doi: 10.11781/sysydz2025010009
  • Received Date: 2024-10-29
  • Rev Recd Date: 2024-12-12
  • Publish Date: 2025-01-28
  • Deep coalbed methane (CBM) possesses enormous resource potential and is essential for increasing unconventional natural gas reserves and production on a large scale in China. To understand the current status of CBM research and development in China, systematic retrieval and classification of deep CBM-related publications are conducted using the China National Knowledge Infrastructure (CNKI) database and Wanfang Data Knowledge Service Platform. Based on this analysis, the status of deep CBM research in China is reviewed, and its development trends are discussed, providing insights into adaptive exploration and development technologies for deep CBM. The results indicate that the temporal distribution of publications reflects the evolution of China's deep CBM research and industrial development, which can be divided into four stages: the initial exploration stage (1994 to 2005), the slow development stage (2006 to 2015), the steady progress stage (2016 to 2020), and the rapid development stage (since 2021). Geological and engineering "dual sweet spot" prediction is a key research focus for deep CBM research. Conducting geology and engineering integrated research for deep CBM exploration and development, based on the quantitative characterization of geological and engineering parameters and using three-dimensional geological and geomechanical modeling, is a critical pathway to ensuring profitable development. The production state and development degree of natural fractures in coal reservoirs significantly affect fracturing transformation. The connectivity of fracture networks before and after fracturing is an important indicator for determining the performance of deep CBM development. The development of deep CBM technologies and their applicability are the key areas to be explored in the future. Deepening theoretical understanding, quantitatively characterizing geological and engineering conditions, and comprehensively analyzing influencing factors are fundamental and crucial for the further rapid development of deep CBM in China. Deep and ultra-deep CBM in basins such as the Ordos, Junggar, Sichuan, and Tarim basins will be the research focus and the key exploration and development areas.

     

  • Authors JU Wei and TAO Shu are Young Editorial Board Members of this journal, and they did not take part in the peer review or decision making of this article.
    The manuscript was drafted by JU Wei and revised by TAO Shu, and YANG Zhaobiao. The data was prepared and processed by CHENG Jiayao and SHANG Haiyan. NING Weike and WU Chunlong drew the figures. All authors have read the final version of the paper and consented to its submission.
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    Created with Highcharts 5.0.7Chart context menuAccess Area Distribution其他: 8.7 %其他: 8.7 %其他: 2.2 %其他: 2.2 %China: 0.5 %China: 0.5 %Ponzano Veneto: 0.5 %Ponzano Veneto: 0.5 %San Lorenzo: 0.5 %San Lorenzo: 0.5 %万隆: 0.2 %万隆: 0.2 %上海: 0.7 %上海: 0.7 %东营: 1.4 %东营: 1.4 %乌鲁木齐: 0.5 %乌鲁木齐: 0.5 %保定: 0.2 %保定: 0.2 %克拉玛依: 0.5 %克拉玛依: 0.5 %北京: 12.7 %北京: 12.7 %十堰: 0.2 %十堰: 0.2 %南京: 2.4 %南京: 2.4 %厦门: 0.2 %厦门: 0.2 %呼和浩特: 0.2 %呼和浩特: 0.2 %哥伦布: 0.7 %哥伦布: 0.7 %商丘: 0.2 %商丘: 0.2 %城南: 0.2 %城南: 0.2 %大庆: 1.0 %大庆: 1.0 %大连: 0.7 %大连: 0.7 %天津: 1.4 %天津: 1.4 %太原: 1.0 %太原: 1.0 %安康: 0.2 %安康: 0.2 %安顺: 0.2 %安顺: 0.2 %宝鸡: 0.5 %宝鸡: 0.5 %常德: 0.7 %常德: 0.7 %广州: 0.5 %广州: 0.5 %延安: 0.2 %延安: 0.2 %弗吉尼亚州: 0.2 %弗吉尼亚州: 0.2 %张家口: 9.6 %张家口: 9.6 %徐州: 1.0 %徐州: 1.0 %成都: 2.6 %成都: 2.6 %扬州: 0.2 %扬州: 0.2 %新乡: 0.2 %新乡: 0.2 %新加坡: 0.2 %新加坡: 0.2 %无锡: 6.0 %无锡: 6.0 %昆明: 0.5 %昆明: 0.5 %杭州: 0.5 %杭州: 0.5 %武汉: 1.7 %武汉: 1.7 %洛阳: 0.7 %洛阳: 0.7 %济南: 0.5 %济南: 0.5 %济宁: 0.7 %济宁: 0.7 %淄博: 0.2 %淄博: 0.2 %深圳: 0.2 %深圳: 0.2 %温州: 0.7 %温州: 0.7 %滨州: 0.5 %滨州: 0.5 %漯河: 2.4 %漯河: 2.4 %焦作: 0.5 %焦作: 0.5 %盐城: 0.2 %盐城: 0.2 %石家庄: 1.2 %石家庄: 1.2 %秦皇岛: 0.2 %秦皇岛: 0.2 %芒廷维尤: 16.8 %芒廷维尤: 16.8 %苏州: 0.2 %苏州: 0.2 %荆州: 1.0 %荆州: 1.0 %蚌埠: 0.2 %蚌埠: 0.2 %西宁: 2.2 %西宁: 2.2 %西安: 2.2 %西安: 2.2 %赤峰: 0.2 %赤峰: 0.2 %达拉斯: 0.2 %达拉斯: 0.2 %运城: 0.2 %运城: 0.2 %遵义: 0.2 %遵义: 0.2 %邯郸: 1.0 %邯郸: 1.0 %郑州: 0.7 %郑州: 0.7 %重庆: 1.4 %重庆: 1.4 %铜仁: 0.2 %铜仁: 0.2 %银川: 1.0 %银川: 1.0 %锦州: 1.0 %锦州: 1.0 %长沙: 0.7 %长沙: 0.7 %其他其他ChinaPonzano VenetoSan Lorenzo万隆上海东营乌鲁木齐保定克拉玛依北京十堰南京厦门呼和浩特哥伦布商丘城南大庆大连天津太原安康安顺宝鸡常德广州延安弗吉尼亚州张家口徐州成都扬州新乡新加坡无锡昆明杭州武汉洛阳济南济宁淄博深圳温州滨州漯河焦作盐城石家庄秦皇岛芒廷维尤苏州荆州蚌埠西宁西安赤峰达拉斯运城遵义邯郸郑州重庆铜仁银川锦州长沙

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