Injection-Induced Seismic Risk Management Using Machine Learning Methodology - A Perspective Study
文献类型：期刊论文
| 作者 | He, Miao1,2; Li, Qi1,2 ; Li, Xiaying1,2
|
| 刊名 | FRONTIERS IN EARTH SCIENCE
 |
| 出版日期 | 2020-06-22 |
| 卷号 | 8页码:18 |
| 关键词 | induced seismicity machine learning discriminating earthquakes managing seismic risk traffic light system |
| DOI | 10.3389/feart.2020.00227 |
| 英文摘要 | Effective identification of induced seismicity and real-time management of seismic risks are hot topics due to increasing induced seismicity in areas related to energy exploitation. Existing decision-making tool for managing seismic risks, known as the traffic light system, is not robust enough. To meet the increasing needs for safe mining of energy at production sites, finding an advanced and efficient method to improve the traffic light system is essential. In recent years, machine learning, an advanced inductive and analytical method, has been widely used in seismology. In this context, research gaps associated with the identification and management of induced seismicity, as well as the current achievements of machine learning in addressing induced seismicity problems, are reviewed. A basic framework of using machine learning method to optimize the traffic light system in the industrial production process is first proposed. Then, its feasibility and rationality are demonstrated by similar cases. This framework may provide a reference for the development of a risk-based adaptive traffic light management system. |
| 资助项目 | National Natural Science Foundation of China[41872210] ; National Natural Science Foundation of China[41902297] ; Open Research Fund of State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences[Z017006] |
| WOS研究方向 | Geology |
| 语种 | 英语 |
| WOS记录号 | WOS:000548708500001 |
| 出版者 | FRONTIERS MEDIA SA |
| 源URL | [http://119.78.100.198/handle/2S6PX9GI/24556]  |
| 专题 | 中科院武汉岩土力学所 |
| 通讯作者 | Li, Qi |
| 作者单位 | 1.Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Wuhan, Peoples R China 2.Univ Chinese Acad Sci, Sch Engn Sci, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | He, Miao,Li, Qi,Li, Xiaying. Injection-Induced Seismic Risk Management Using Machine Learning Methodology - A Perspective Study[J]. FRONTIERS IN EARTH SCIENCE,2020,8:18. |
| APA | He, Miao,Li, Qi,&Li, Xiaying.(2020).Injection-Induced Seismic Risk Management Using Machine Learning Methodology - A Perspective Study.FRONTIERS IN EARTH SCIENCE,8,18. |
| MLA | He, Miao,et al."Injection-Induced Seismic Risk Management Using Machine Learning Methodology - A Perspective Study".FRONTIERS IN EARTH SCIENCE 8(2020):18. |
入库方式： OAI收割
来源：武汉岩土力学研究所
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