Research status and prospect of coalbed methane intelligent extraction in China
Coalbed methane (CBM) is a high-quality, clean non-conventional energy source, and its rational development and utilisation has the important value of improving the alleviation of resource pressure and ensuring safe production. Especially in recent years, the rapid development of artificial intellig...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Coal Science and Technology
2025-06-01
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| Series: | Meitan kexue jishu |
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| Online Access: | http://www.mtkxjs.com.cn/article/doi/10.12438/cst.2024-0624 |
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| author | Yongcheng LIU Lei ZHANG Jianzhong PAN Liang LUO Xinyuan LIU Yuechen TIAN |
| author_facet | Yongcheng LIU Lei ZHANG Jianzhong PAN Liang LUO Xinyuan LIU Yuechen TIAN |
| author_sort | Yongcheng LIU |
| collection | DOAJ |
| description | Coalbed methane (CBM) is a high-quality, clean non-conventional energy source, and its rational development and utilisation has the important value of improving the alleviation of resource pressure and ensuring safe production. Especially in recent years, the rapid development of artificial intelligence technology has embodied obvious potential in the field of mining, and it is of great practical significance to use artificial intelligence technology to improve the capacity and level of CBM development. The main basic applications of AI technology in CBM development at the current stage are analysed and summarized from three technical directions, such as reservoir exploration, capacity prediction, and pumping control, and on the basis of which, the salient features, application fields, and development prospects of each type of technology are analysed. Then, it is analysed that complex geological conditions, insufficient accumulation of high-quality data, and few reference cases are the main technical challenges at this stage, which limit the development of relevant technologies to a large extent. As a result, the main technologies required for CBM intelligent development in the short term and their long-term development trends are summarised, and relevant recommendations are put forward based on the current status and main features of the main technologies: in general, it is necessary to give full play to the existing advantages, further optimise the relevant technological platforms on the basis of the existing ones, and appropriately introduce and learn from the international advanced technologies; pay attention to the accumulation of data, and build a high-quality information support platform for the representative CBM wellfields, so as to provide high-quality data for the construction of the intelligent extraction platforms. Integrate resources, accelerate the development of intelligent extraction platforms in practice, promote the application of typical innovative technologies, and improve the level of intelligent CBM development; focus on the development of intelligent technologies that are compatible with deep CBM and "three-gas" combined extraction, in view of China's special geological conditions, so as to achieve a superb turnaround in the corresponding field. In order to realise the curved-track overtaking in the corresponding fields. |
| format | Article |
| id | doaj-art-84068c43a22f4729bfed68e55e3341da |
| institution | Kabale University |
| issn | 0253-2336 |
| language | zho |
| publishDate | 2025-06-01 |
| publisher | Editorial Department of Coal Science and Technology |
| record_format | Article |
| series | Meitan kexue jishu |
| spelling | doaj-art-84068c43a22f4729bfed68e55e3341da2025-08-20T03:26:48ZzhoEditorial Department of Coal Science and TechnologyMeitan kexue jishu0253-23362025-06-0153S122323210.12438/cst.2024-06242024-0624Research status and prospect of coalbed methane intelligent extraction in ChinaYongcheng LIU0Lei ZHANG1Jianzhong PAN2Liang LUO3Xinyuan LIU4Yuechen TIAN5School of Mines, China University of Mining and Technology, Xuzhou 221116, ChinaSchool of Mines, China University of Mining and Technology, Xuzhou 221116, ChinaDadi Engineering Development (Group) Co., Ltd., Beijing 100102, ChinaSchool of Mines, China University of Mining and Technology, Xuzhou 221116, ChinaSchool of Mines, China University of Mining and Technology, Xuzhou 221116, ChinaSchool of Mines, China University of Mining and Technology, Xuzhou 221116, ChinaCoalbed methane (CBM) is a high-quality, clean non-conventional energy source, and its rational development and utilisation has the important value of improving the alleviation of resource pressure and ensuring safe production. Especially in recent years, the rapid development of artificial intelligence technology has embodied obvious potential in the field of mining, and it is of great practical significance to use artificial intelligence technology to improve the capacity and level of CBM development. The main basic applications of AI technology in CBM development at the current stage are analysed and summarized from three technical directions, such as reservoir exploration, capacity prediction, and pumping control, and on the basis of which, the salient features, application fields, and development prospects of each type of technology are analysed. Then, it is analysed that complex geological conditions, insufficient accumulation of high-quality data, and few reference cases are the main technical challenges at this stage, which limit the development of relevant technologies to a large extent. As a result, the main technologies required for CBM intelligent development in the short term and their long-term development trends are summarised, and relevant recommendations are put forward based on the current status and main features of the main technologies: in general, it is necessary to give full play to the existing advantages, further optimise the relevant technological platforms on the basis of the existing ones, and appropriately introduce and learn from the international advanced technologies; pay attention to the accumulation of data, and build a high-quality information support platform for the representative CBM wellfields, so as to provide high-quality data for the construction of the intelligent extraction platforms. Integrate resources, accelerate the development of intelligent extraction platforms in practice, promote the application of typical innovative technologies, and improve the level of intelligent CBM development; focus on the development of intelligent technologies that are compatible with deep CBM and "three-gas" combined extraction, in view of China's special geological conditions, so as to achieve a superb turnaround in the corresponding field. In order to realise the curved-track overtaking in the corresponding fields.http://www.mtkxjs.com.cn/article/doi/10.12438/cst.2024-0624coalbed methanesmart technologyreservoir explorationcapacity predictionequipment synergy |
| spellingShingle | Yongcheng LIU Lei ZHANG Jianzhong PAN Liang LUO Xinyuan LIU Yuechen TIAN Research status and prospect of coalbed methane intelligent extraction in China Meitan kexue jishu coalbed methane smart technology reservoir exploration capacity prediction equipment synergy |
| title | Research status and prospect of coalbed methane intelligent extraction in China |
| title_full | Research status and prospect of coalbed methane intelligent extraction in China |
| title_fullStr | Research status and prospect of coalbed methane intelligent extraction in China |
| title_full_unstemmed | Research status and prospect of coalbed methane intelligent extraction in China |
| title_short | Research status and prospect of coalbed methane intelligent extraction in China |
| title_sort | research status and prospect of coalbed methane intelligent extraction in china |
| topic | coalbed methane smart technology reservoir exploration capacity prediction equipment synergy |
| url | http://www.mtkxjs.com.cn/article/doi/10.12438/cst.2024-0624 |
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