​Dr. Zhang is interested in the field of reservoir simulation and characterization, with an emphasis on the ensemble-based methods for assisted history matching and uncertainty quantification. He is currently focusing on the development and implementation of a framework for enhancing reservoir characterization using electromagnetic techniques as part of a research project supported by Saudi Aramco.

• Image-oriented distance parameterization for ensemble-based seismic history matching
  Y. Zhang, O. Leeuwenburgh
  Computational Geosciences, 21(4), 713-731, 2017
• Ensemble-based seismic history matching with distance parameterization for complex grids
  Y. Zhang, O. Leeuwenburgh
  15th European Conference on the Mathematics of Oil Recovery, Netherlands, 2016
• Ensemble-based data assimilation with curvelets regularization
  Y. Zhang, D.S. Oliver, H. Chauris, D. Donno
  Journal of Petroleum Science and Engineering, 136, 55-67, 2015
• Data assimilation by use of the iterative ensemble smoother for 2-D facies models
  Y. Zhang, D.S. Oliver, Y. Chen, H.J. Skaug
  SPE Journal, 20(01), 169-185, 2015
• Numerical simulation of polymer flooding in class III reservoir of Daqing oilfield
  Y. Zhang, X. Zeng, Y. Wang, W. Qu
  Fault-Block Oil & Gas Field, 2, 029, 2011

• ​Ph.D., Mathematics, University of Bergen, Bergen, Norway, 2015
• M.Sc., Petroleum Engineering, Northeast Petroleum University, Daqing, China, 2011
• B.Sc., Automation Engineering, Heilongjiang University of Science and Technology, Harbin, China, 2007

• ​2017-Present: Postdoctoral fellow, KAUST, Thuwal, Saudi Arabia
• 2015-2017: Postdoctoral fellow, TNO, Utrecht, Netherlands

• ​European Association of Geoscientists & Engineers (EAGE) 
• Society of Petroleum Engineers (SPE)

• Physical Science and Engineering Division (PSE)