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Application of Machine Learning Methods in Arrival Time Picking of P Waves from Reservoir Earthquake
[期刊论文] 作者：HU Jiupeng,YU Ziye,KUANG Wenhu,
来源：中国地震研究:英文版 年份：2020
Reservoir earthquake characteristics such as small magnitude and large quantity may result in low monitoring efficiency when using traditional methods.However,m...
[期刊论文] 作者：HU Jiupeng,CHEN Yong,LI Wen,XU,
来源：中国地震研究:英文版 年份：2019
The 2018 Palu MW7. 5 earthquake and tsunami attracted geophysicists' attention for its strike slip focal mechanism and magnitude. We inspected the details o...
Application of Machine Learning Methods in Arrival Time Picking of P Waves from Reservoir Earthquake
[期刊论文] 作者：HU Jiupeng,YU Ziye,KUANG Wenhuan,WANG Weitao,RUAN Xiang,DAI Shigui,
来源：中国地震研究（英文版） 年份：2020
Reservoir earthquake characteristics such as small magnitude and large quantity may result in low monitoring efficiency when using traditional methods. However,...
[会议论文] 作者：Hu Jiupeng,胡久鹏,Wang Baoshan,王宝善,Chen Yong,陈顒,
来源：中国地球物理学会第二十八届年会 年份：2012
本文为了掌握不同水体形状对激发波形性质的影响，进行了大量的模拟实验。本文建立了三类模型，并取三个参数来描述波形的性质，总工进行了17组实验，实验结果分4组进行比较。最终可以得出以下结论：1.井深30米震源沉放20米时效果较好。对于侧壁有一层坚硬介质的深井，管波......
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