Yanhui Zhang

Research Staff

Research Scientist

Current

Social Profile:

Research Interests

Yanhui's research interests encompass reservoir history matching, data assimilation, machine learning, optimization, and uncertainty quantification, specifically tailored for applications in the oil and gas industry. Current research is focusing on developing novel methodologies that integrate ensemble-based assimilation methods with advanced deep learning techniques to optimize sustainable energy practices.

Selected Publications

1. "Data assimilation by use of the iterative ensemble smoother for 2D facies models". Zhang, Yanhui, Dean S. Oliver, Yan Chen, and Hans J. Skaug. SPE Journal 20, no. 01 (2015): 169-185. https://doi.org/10.2118/170248-PA

2. "Image-oriented distance parameterization for ensemble-based seismic history matching". Zhang, Yanhui, and Olwijn Leeuwenburgh. Computational Geosciences 21 (2017): 713-731. https://doi.org/10.1007/s10596-017-9652-1

3. "Efficient assimilation of crosswell electromagnetic data using an ensemble-based history-matching framework". Zhang, Yanhui, Femke C. Vossepoel, and Ibrahim Hoteit. SPE Journal 25, no. 01 (2020): 119-138. https://doi.org/10.2118/193808-PA

4. "Phase equilibrium in the hydrogen energy chain". Zhang, Tao, Yanhui Zhang, Klemens Katterbauer, Abdallah Al Shehri, Shuyu Sun, and Ibrahim Hoteit. Fuel 328 (2022): 125324. https://doi.org/10.1016/j.fuel.2022.125324

5. "Feature-oriented joint time-lapse seismic and electromagnetic history matching using ensemble methods". Zhang, Yanhui, and Ibrahim Hoteit. SPE Journal 26, no. 03 (2021): 1341-1365. https://doi.org/10.2118/203847-PA

6. "Feature-based ensemble history matching in a fractured carbonate reservoir using time-lapse deep electromagnetic tomography". Zhang, Yanhui, Ibrahim Hoteit, Klemens Katterbauer, Marko Maucec, and Alberto F. Marsala. Journal of Petroleum Science and Engineering 208 (2022): 109259. https://doi.org/10.1016/j.petrol.2021.109259

7. "Iterative ensemble smoothing scheme for reservoir history matching with unknown observation error covariance". Zhang, Yanhui, Boujemaa Ait-El-Fquih, Klemens Katterbauer, Abdallah A. Alshehri, and Ibrahim Hoteit. Geoenergy Science and Engineering 234 (2024): 212640. https://doi.org/10.1016/j.geoen.2024.212640

8. "Deep learning-aided image-oriented history matching of geophysical data". Zhang, Yanhui, Klemens Katterbauer, Tao Zhang, Abdallah A. AlShehri, and Ibrahim Hoteit. Computational Geosciences 27, no. 4 (2023): 591-604. https://doi.org/10.1007/s10596-023-10227-0

9. "Deep learning–assisted phase equilibrium analysis for producing natural hydrogen". Zhang, Tao, Yanhui Zhang, Klemens Katterbauer, Abdallah Al Shehri, Shuyu Sun, and Ibrahim Hoteit. International Journal of Hydrogen Energy 50 (2024): 473-486. https://doi.org/10.1016/j.ijhydene.2023.09.097

 

Education

  • 2008-2011: M.S., in Petroleum Engineering from Northeast Petroleum University, China
  • 2011-2015: Ph.D., in Applied Mathematics from University of Bergen, Norway
  • 2015-2017: Junior Scientist, Petroleum Geoscience, TNO, Netherlands
  • 2017-2021: Postdoctoral Researcher, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
  • 2021-present: Research Scientist, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia

Scientific and Professional Membership

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

KAUST Affiliations

Research Interests Keywords

Reservoir simulation Optimization Uncertainty quantification History matching
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