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Special-Term Associate Professor
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Name  
 WANG Zan
Title  
   Special-term Associate Professor
Highest Education  
   Ph.D.
Subject Categories  
   Civil and Environmental Engineering
Phone  
   -
Zip Code  
   100029
Fax  
   010-62010846
Email  
   zan.wang@mail.iggcas.ac.cn
Office  
   No.19 Beitucheng West Road, Chaoyang District, Beijing, 100029, China

Education and Appointments：
  • 2015-2020: National Energy Technology Laboratory (U.S.A), postdoctoral research fellow;
  • 2011-2015: Department of Civil and Environmental Engineering, Carnegie Mellon University (U.S.A), Ph.D.
  • 2010-2011: Department of Civil and Environmental Engineering, Carnegie Mellon University (U.S.A), M.S.
  • 2006-2010: Department of Hydraulic Engineering, Sichuan University (China), B.S.

Research Interests：
  1. Statistical methods and machine learning methods in subsurface applications
  2. Uncertainty quantification
  3. Risk assessment
  4. Geophysical modeling and analysis
Public Services：

Honors：
  1. Carnegie Institute of Technology Dean's fellowship, Carnegie Mellon University, 2011.
  2. National first-class scholarship, The Ministry of Education of China, 2007, 2008.

Supported Projects：
  1. "Methods for characterizing CO2 storage complex and selecting storage sites", National Natural Science Foundation of China, 2022-2025.
  2. "National Risk Assessment Partnership", US Department of Energy, 2015-2020.

Publications：
  1. Wang Z., Dilmore R.M., Bacon D.H., "Evaluating probability of containment effectiveness at a GCS site using integrated assessment modeling approach with Bayesian decision net-work", Greenhouse Gases: Science and Technology, 11:360–376 (2021).
  2. Wang Z., Dilmore R.M., Harbert W., "Inferring CO2 saturation from synthetic surface seismic and downhole monitoring data using machine learning for leakage detection at CO2 sequestration sites", International Journal of Greenhouse Gas Control, 100, 103115 (2020).
  3. Yang X., Buscheck T. A., Mansoor K., Wang Z., Gao K., Huang L., Appriou D., Carroll S. A., "Assessment of Geophysical Monitoring Methods for Detection of Brine and CO2 Leakage in Drinking Water Aquifers", International Journal of Greenhouse Gas Control, 90, 102803, ISSN 1750-5836 (2019).
  4. Zhou Z., Lin Y., Zhang Z., Wu Y., Wang Z., Dilmore R.M., Guthrie G., "A Data-Driven CO2 Leakage Detection Using Seismic Data and Spatial-Temporal Densely Connected Convolutional Neural Networks", International Journal of Greenhouse Gas Control, 90, 102790 (2019).
  5. Wang Z., Harbert W.P., Dilmore R.M., Huang L., "Modeling of time-lapse seismic monitoring using CO2 leakage simulations for a model CO2 storage site with realistic geology: Application in assessment of early leak-detection capabilities", International Journal of Greenhouse Gas Control, 76, 39-52 (2018).
  6. Zhou Z., Lin Y., Wu Y., Wang Z., Dilmore R.M., Guthrie G., "Spatial-Temporal Densely Connected Convolutional Networks: An Application to CO2 Leakage Detection", SEG Technical Program Expanded Abstracts, 2136-2140 (2018).
  7. Wang Z., Small M.J., "Statistical Performance of CO2 Leakage Detection using Seismic Travel Time Measurements", Greenhouse Gases: Science and Technology, 5, 1-15 (2015).
  8. Wang Z., Small M.J., "A Bayesian Approach to CO2 Leakage Detection at Saline Sequestration Sites Using Pressure Measurements", International Journal of Greenhouse Gas Control, 30, 188-196 (2014).
  9. Wang Z., Small M.J., Karamalidis A.K., "A Multi-Model Predictive System for Carbon Dioxide Solubility in Saline Formation Waters", Environmental Science & Technology, 47 (3), 1407-1415 (2013).
 
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