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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

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

Research Interests:
  1. Geoscience big data analysis methods and theories
  2. Rock physics, reservoir geomechanics
  3. Intelligent assessment of geological risks
Public Services:

Honors:
  1. Excellent Scientific and Technological Achievement Award (2020), Institute of Geology and Geophysics

Supported Projects:
  1. National Natural Science Foundation of China (42102351), 2022 – 2024
  2. Special Research Assistant Program of Chinese Academy of Sciences, 2019 – 2021
  3. China Postdoctoral Science Foundation, 2019 – 2021
  4. Key Deployment Project of Institute of Geology and Geophysics, Chinese Academy of Sciences, 2019 – 2022

Publications:

[8] Geng Zhi, et al. 2021. Pressure Solution Compaction During Creep Deformation of Tournemire Shale: Implications for Temporal Sealing in Shales. Journal of Geophysical Research-Solid Earth, 126(3): e2020JB021370. 

[7] Geng Zhi, Wang Y. 2020. Automated design of a convolutional neural network with multi-scale filters for cost-efficient seismic data classification. Nature Communications, 11():3311. 

[6] Geng Zhi, Wang Y. 2020. Physics-guided deep learning for predicting geological drilling risk of wellbore instability using seismic attributes data. Engineering Geology, 279():105857. 

[5] Geng Zhi, et al. 2019. Predicting seismic-based risk of lost circulation using machine learning. Journal of Petroleum Science and Engineering, 176(): 679-688. 

[4] Geng Zhi, et al. 2018. Time and temperature dependent creep in Tournemire shale. Journal of Geophysical Research-Solid Earth, 123():9658-9675. 

[3] Geng Zhi, et al. 2017. Elastic anisotropy reversal during brittle creep in shale. Geophysical Research Letters, 44(21): 10887-10895. 

[2] Geng Zhi, et al. 2016. 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. 

[1] Geng Zhi, et al. 2016. Experimental study of brittleness anisotropy of shale in triaxial compression. Journal of Natural Gas Science and Engineering, 36():510-518.  

 
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