Microseismic source location method based on a velocity model database and statistical analysis
文献类型：期刊论文
| 作者 | Chen, Bing-Rui1,2; Li, Tao1,2; Zhu, Xin-Hao1,2; Wei, Fan-Bo1,2; Wang, Xu1,2; Xie, Ming-Xing3 |
| 刊名 | ARABIAN JOURNAL OF GEOSCIENCES
 |
| 出版日期 | 2021-10-01 |
| 卷号 | 14期号:19页码:16 |
| 关键词 | Rock mechanics Microseismic source location Velocity model database Statistical analysis Illegal mining |
| ISSN号 | 1866-7511 |
| DOI | 10.1007/s12517-021-08311-9 |
| 英文摘要 | Matching the velocity model to the actual engineering and geological conditions and improving the accuracy and stability of the microseismic (MS) source location remain challenges for scientists. An MS source location method based on a velocity model database and statistical analysis, named LM-VMD-SA, is proposed in this study. The method firstly divides the monitoring area into different subareas based on four influencing factors and creates an initial velocity model database by assigning an initial velocity to each sensor combination. Secondly, blasting tests are carried out in each subarea, where the velocity model database is inverted using a location error optimization method based on the pattern search algorithm (LEOM-PSA). The initial velocity model database for each subarea is updated by the velocity model database of the blasting events in the same subarea, and a velocity model database is constructed. Then, the velocity models for all sensor combinations of an MS event are called from the velocity model database for the corresponding subarea by matching the sensor combination of the MS event, and all corresponding solutions of the MS event are solved by the ND-N method. Finally, the three-dimensional coordinates of MS source are identified by utilizing the log-logistic (3P) distribution probability density function. According to blasting tests in the Beiminghe Iron Mine, the location accuracy of the proposed method is 20.88% and 18.24% higher than that of the traditional method and subarea method, respectively. The application of the proposed method to the Beiminghe Iron Mine revealed the illegal mining activities at -125 m and -155 m level, providing effective technical support for mineral resources protection and mining safety. |
| 资助项目 | National Natural Science Foundation of China[42077263] ; National Natural Science Foundation of China[51539002] ; China Railway Corporation Science and Technology Research and Development Project[P2019G001] |
| WOS研究方向 | Geology |
| 语种 | 英语 |
| WOS记录号 | WOS:000696238600005 |
| 出版者 | SPRINGER HEIDELBERG |
| 源URL | [http://119.78.100.198/handle/2S6PX9GI/27917]  |
| 专题 | 中科院武汉岩土力学所 |
| 通讯作者 | Li, Tao |
| 作者单位 | 1.Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Wuhan 430071, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Beiminghe Iron Mine Minmet Hanxing Min Co Ltd, Wuan 056300, Hebei, Peoples R China |
| 推荐引用方式 GB/T 7714 | Chen, Bing-Rui,Li, Tao,Zhu, Xin-Hao,et al. Microseismic source location method based on a velocity model database and statistical analysis[J]. ARABIAN JOURNAL OF GEOSCIENCES,2021,14(19):16. |
| APA | Chen, Bing-Rui,Li, Tao,Zhu, Xin-Hao,Wei, Fan-Bo,Wang, Xu,&Xie, Ming-Xing.(2021).Microseismic source location method based on a velocity model database and statistical analysis.ARABIAN JOURNAL OF GEOSCIENCES,14(19),16. |
| MLA | Chen, Bing-Rui,et al."Microseismic source location method based on a velocity model database and statistical analysis".ARABIAN JOURNAL OF GEOSCIENCES 14.19(2021):16. |
入库方式： OAI收割
来源：武汉岩土力学研究所
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