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Details of the Faculty or Staff |
Name |
GENG Zhi |
Title |
Special-term Associate Professor |
Highest Education |
Ph.D. |
Subject Categories |
Geology |
Phone |
- |
Zip Code |
100029 |
Fax |
010-62010846 |
Email |
gengzhi@mail.iggcas.ac.cn |
Office |
No.19 Beitucheng West Road, Chaoyang District, Beijing, 100029, China |
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Education and Appointments: |
2022.01 – up to now, Institute of Geology and Geophysics, Associate Professor 2019.02 – 2021.12, Institute of Geology and Geophysics, Postdoc/Research Assistant 2015.10 – 2018.10, école Normale Supérieure - Paris, France, Ph.D. 2011.09 – 2015.09, China University of Petroleum (Beijing), Graduate student 2007.09 – 2011.06, China University of Petroleum (Beijing), Bachelor
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Research Interests: |
Geoscience big data analysis methods and theories Intelligent assessment of geological risks
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Honors: |
Excellent Scientific and Technological Achievement Award (2020, artificial intelligence), Institute of Geology and Geophysics Excellent Scientific and Technological Achievement Award (2023, geophysics), Institute of Geology and Geophysics
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Supported Projects: |
- National Natural Science Foundation of China, Original Exploration Program, 2024 – 2027
National Natural Science Foundation of China (42102351), 2022 – 2024 Special Research Assistant Program of Chinese Academy of Sciences, 2019 – 2021 China Postdoctoral Science Foundation, 2019 – 2021 Key Deployment Project of Institute of Geology and Geophysics, Chinese Academy of Sciences, 2019 – 2022
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Publications: |
[9] Geng Zhi, et al. Real-time discrimination of earthquake signals by integrating artificial intelligence technology into IoT devices. Communications Earth & Environment, 6, 73 (2025). (https://www.nature.com/articles/s43247-025-02003-y) [8] Geng Zhi & Wang, Y. Automated design of a convolutional neural network with multi-scale filters for cost-efficient seismic data classification. Nature Communications, 11, 3311 (2020). (https://www.nature.com/articles/s41467-020-17123-6) [7] Geng Zhi, et al. Pressure Solution Compaction During Creep Deformation of Tournemire Shale: Implications for Temporal Sealing in Shales. Journal of Geophysical Research-Solid Earth, 126(3): e2020JB021370 (2021). [6] Geng Zhi, Wang Y. Physics-guided deep learning for predicting geological drilling risk of wellbore instability using seismic attributes data. Engineering Geology, 279:105857 (2020). [5] Geng Zhi, et al. Predicting seismic-based risk of lost circulation using machine learning. Journal of Petroleum Science and Engineering, 176: 679-688 (2019). [4] Geng Zhi, et al. Time and temperature dependent creep in Tournemire shale. Journal of Geophysical Research-Solid Earth, 123:9658-9675 (2018). [3] Geng Zhi, et al. Elastic anisotropy reversal during brittle creep in shale. Geophysical Research Letters, 44(21): 10887-10895 (2017). [2] Geng Zhi, et al. Integrated fracability assessment methodology for unconventional naturally fractured reservoirs: Bridging the gap between geophysics and production. Journal of Petroleum Science and Engineering, 145:640-647 (2016). [1] Geng Zhi, et al. Experimental study of brittleness anisotropy of shale in triaxial compression. Journal of Natural Gas Science and Engineering, 36():510-518 (2016). |
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No. 19, Beitucheng Xilu, Chaoyang District, 100029, Beijing, P.R.China
Tel: 010-82998001 Fax: 010-62010846 Email: suoban@mail.iggcas.ac.cn |
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