一、基本信息
姓名：况文欢
性别：男
出生年月：1989年9月
祖籍：安徽省宿州市
联系地址：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，邮编266100.
E-mail: 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，访问博士
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.科研项目
(1) 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，主持
(2) 国家重点研发计划专题，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，主持
(3) 国家重点研发计划专题，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，主持
(4) 博士后基金面上资助，利用地震震源机制解监测地下应力场的变化，2017-2019，主持
(5) 中国地震局工程力学研究所开放基金项目，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，主持
三、主要学术领域
1.学科方向：人工智能地震学、微地震监测、地应力反演
2.近期研究兴趣：
1)基于人工智能的震源破裂特征实时估算
2)基于强化学习的震源定位和震源机制反演
3)微地震监测、地质力学分析/地应力反演
四、主要论文和论著目录
期刊论文：
(1)Wenhuan Kuang, Congcong Yuan, Jie Zhang, and Wei Zhang*. (2022). Relative Focal Mechanism Inversion and its Application to Ridgecrest Sequence, Seismological Research Letters (IF=4.28).
(2)Wenhuan Kuang*, Congcong Yuan, and Jie Zhang*. (2021). Real-time determination of earthquake focal mechanism via deep learning. Nature Communications (IF=17.69). 12, 1432. https://doi.org/10.1038/s41467-021-21670-x.
(3)Wenhuan Kuang*, Congcong Yuan, and Jie Zhang. (2021). Network-based earthquake magnitude determination via deep learning. Seismological Research Letters (IF=4.28). 92 (4): 2245–2254.
(4)Wenhuan Kuang, and Jie Zhang*. (2020). Direct stress field estimation through waveform matching, Geophysical Journal International (IF=3.17), 221 (2), 843-856.
(5)Wenhuan Kuang, Mark Zoback, and Jie Zhang*. (2017). Estimating geomechanical parameters from microseismic plane focal mechanisms recorded during multistage hydraulic fracturing, Geophysics (IF=3.29), 82(1): KS1~KS11.
(6)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), doi: 10.1038/ncomms6664.
(7)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, https://doi.org/10.1029/2021JB022649.
(8)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.
(9)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.
(10)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.
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, 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 frominduced seismicity in Oklahoma, SEG Expanded Abstracts, Los Angeles, California, 2018.10
(4)Arjun H. Kohli, Wenhuan Kuang, and Mark D. Zoback. Stress, seismicity, and microseismic source mechanisms at the Hydraulic Fracture Test Site-1 in the Midland Basin, TX, AGU fall meeting, 2020.
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