姓名：况文欢
性别：男
办公地址：山东省青岛市崂山区松岭路238号，中国海洋大学，海洋地球科学学院，地质楼C504，邮编266100.
电子邮箱: kwh@ouc.edu.cn
二、简历
1. 学习经历
2006.09 - 2010.06，中国科学技术大学，地球物理系，本科
2010.09 - 2015.06，中国科学技术大学，地球物理系，博士
2014.01 - 2014.12，美国斯坦福大学，地球物理系，访学博士
2. 工作经历
2015.08 - 2017.02，CGG石油勘探公司(新加坡)，Geophysicist
2017.03 - 2019.10，中国科学技术大学，博士后
2019.11 - 2020.10，美国斯坦福大学，博士后
2021.01 - 2023.02，南方科技大学，博士后
2023.03 - 至今，中国海洋大学，副教授
3. 学术兼职：
(1) 中国地震学会地震人工智能专业委员会委员
(2) 中国地震学会青年科技工作委员会委员
(3) 中国灾害防御协会防灾减灾人工智能分会委员
4. 研究方向：人工智能地震监测、应力场反演、海洋地震监测
近期研究兴趣：
(1) 基于人工智能的地震监测新方法、新技术
(2) 高精度震源机制反演方法和区域应力场反演
(3) 微地震监测、海洋地震监测
三、主要学术成果
1. 主持的科研项目
(1) 山东省“泰山学者”青年专家，人工智能地震监测，2025-2027，负责人
(2) 山东省优秀青年科学基金，人工智能地震预警，2025-2027，负责人
(3) “深地”国家科技重大专项子课题，深部应力探测关键技术与实验-基于地震数据的应力分析方法，2024-2028，负责人
(4) 国家自然科学基金青年项目，基于深度学习实时预测地震震源机制解的方法研究，2022-2024，负责人
(5) 国家重点研发计划子课题，基于大数据和人工智能的地震监测预测技术研究-应力场变化的实时测定和提取，2021-2023，负责人
(6) 国家重点研发计划子课题，地震预警参数确定新方法-基于人工智能的地震预警震源参数确定方法，2018-2021，负责人
(7) 中国地震局上海佘山观测站开放基金，基于强化学习的地震预警有限断层破裂特征参数实时计算方法研究, 2023-2025，负责人
(8) 中国地震局工程力学研究所开放基金，应用人工智能技术研究面向地震预警的震源机制解快速估算方法, 2019-2021，负责人
(9) 博士后基金面上项目，利用地震震源机制解监测地下应力场的变化，2017-2019，负责人
2. 发表的学术论文
期刊论文：
(1) Rong Liang and Wenhuan Kuang*. 2025. Spatiotemporal Stress changes during the 2024 M7. 6 Noto Peninsula Earthquake sequence revealed from polarity‐based focal mechanisms via Siamese neural network. Journal of Geophysical Research: Solid Earth, 130(10), e2025JB032227.
(2) 况文欢，张捷，叶秀薇，张伟*. 2025. 基于相对震源机制解反演方法的广东及邻区区域应力场研究, 地球物理学报， 68(4), 1258-1270.
(3) Wenhuan Kuang, Congcong Yuan, Zhihui Zou, Jie Zhang, and Wei Zhang*. 2024. Autonomous Earthquake Location via Deep Reinforcement Learning, Seismological Research Letters, 95(1), 367-377.
(4) Wenhuan Kuang*, Zhihui Zou, Junhui Xing, and Wei Wei. 2024. Deep reinforcement learning for inverting earthquake focal mechanism and its potential application to marine earthquakes. Intelligent Marine Technology and Systems, 2, 14.
(5) Wenhuan Kuang, Jie Zhang, and Wei Zhang*. 2023. A novel deep-learning image condition for locating earthquake, Geophysical Journal International, 235(3): 2168-2178.
(6) Wenhuan Kuang, Congcong Yuan, Jie Zhang, and Wei Zhang*. 2023, Relative Focal Mechanism Inversion and its Application to Ridgecrest Sequence, Seismological Research Letters, 94(1), 305-317.
(7) Wenhuan Kuang*, Congcong Yuan, and Jie Zhang*. 2021. Real-time determination of earthquake focal mechanism via deep learning. Nature Communications, 12, 1432.
(8) Wenhuan Kuang*, Congcong Yuan, and Jie Zhang. 2021. Network-based earthquake magnitude determination via deep learning. Seismological Research Letters. 92 (4): 2245–2254.
(9) Wenhuan Kuang, and Jie Zhang*. 2020. Direct stress field estimation through waveform matching, Geophysical Journal International, 221 (2), 843-856.
(10) Wenhuan Kuang, Mark Zoback, and Jie Zhang*. 2017. Estimating geomechanical parameters from microseismic plane focal mechanisms recorded during multistage hydraulic fracturing, Geophysics, 82(1): KS1~KS11.
(11) Kezhen Zuo, Cuiping Zhao*, Wenhuan Kuang. 2025. SourceNet: A Deep‐Learning‐Based Method for Determining Earthquake Source Parameters, Bulletin of the Seismological Society of America,115(2), 379-392.
(12) Runbi Yuan, Zhihui Zou*, Song Xu, and Wenhuan Kuang. 2024. Passive Seismic Monitoring of Injection-Production Process in Oilfield using Reverse Time Imaging. Journal of Geophysics and Engineering, 21(4), 1085-1102.
(13) Zhihui Zou*, Huawei Zhou, Lihua Fang, Wenhuan Kuang, Jianxin Pei. 2024. Teleseismic virtual-source reverse time migration of upper crustal structures in the Three Gorges region, China, Geophysical Journal International, 240(1), 386-399.
(14) Qingshan Zhang, Wei Zhang*, Xinming Wu*, Jie Zhang, Wenhuan Kuang, Xu Si. 2022. Deep Learning for Efficient Microseismic Location Using Source Migration-Based Imaging, JGR: Solid earth,127(3), e2021JB022649
(15) Kevin McCormack*, Mark Zoback, and Wenhuan Kuang. 2021. A Case Study of Vertical Hydraulic Fracture Growth, Stress Variations with Depth and Shear Stimulation in the Niobrara Shale and Codell Sand, DJ Basin, Interpretation, 9(4), 1-34.
(16) Jie Zhang*, Wenhuan Kuang, Xiong Zhang, Chengkang Mo, and Dongxiao Zhang*. 2021. Global review of induced earthquakes in oil and gas production fields (in Chinese), Reviews of Geophysics and Planetary Physics, 52(0): 1-27.
(17) Jiupeng Hu, Ziye Yu, Wenhuan Kuang, Weitao Wang*, Xiang Ruan, and Shigui Dai. 2020. Application of Machine Learning Methods in Arrival Time Picking of P Waves from Reservoir Earthquakes, Earthquake Research in China, 34(3), 343-357.
(18) Jie Zhang*, Haijiang Zhang, Enhong Cheng, Yi Zheng, Wenhuan Kuang, and Xiong Zhang. 2014. Real-time earthquake monitoring using a search engine method, Nature Communications, 5(5664).
会议论文：
(1) Wenhuan Kuang, Lina Zhang, and Jie Zhang. Validity of Acoustic Early-Arrival Waveform Tomography for Near-Surface Imaging, SEG Expanded Abstracts，San Antonio, Texas, USA, 2011.9.
(2) Wenhuan Kuang, Wei Zhang, and Jie Zhang. Locating microseismic events with S-wave data only, SEG Expanded Abstracts, Houston, USA, 2013.9.
(3) Wenhuan Kuang and Jie Zhang. Estimate temporal pore pressure distribution from induced seismicity in Oklahoma, SEG Expanded Abstracts, Los Angeles, California, 2018.10.
专利：
(1) Jie Zhang, Haijiang Zhang, Enhong Chen, Yi Zheng, and Wenhuan Kuang, Method and system of determining earthquake parameters, Earthquake Search Engine, 2013.10, 美国, US 9,239,395 B2.
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数据更新时间：2026年3月9日
