Stanford University
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David Zhen Yin

Postdoctoral Research Fellow, Geological Sciences
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David Zhen Yin is the Postdoctoral Researcher working on Stanford-Chevron CoRE Project at SCERF (Stanford Center for Earth Resources Forecasting). He develops Bayesian Evidential Learning for predictions and uncertainty quantification of oil/gas reservoirs.

Prior to joining SCERF, David was a Research Associate at Edinburgh Time-Lapse Project at Heriot-Watt Institute of Petroleum Engineering in Scotland, leading a research project in collaboration with Statoil from 2016 to 2018. He developed the “WELL2SEIS” technique that efficiently integrate 4D seismic with reservoir engineering data to improve reservoir models. This technique has been applied to seven North Sea projects, and has become Statoil’s standard in-house technology. During this period, he was also a Reservoir Technology Consultant at Statoil Research Center in Bergen, Norway. David developed broad experience in working with complex projects involving the industry as well as broad knowledge about the fields.

David obtained his PhD in Reservoir Geophysics from Heriot-Watt University, UK, in 2016, and B.Eng (Petroleum Engineering) from China University of Petroleum in 2011. His research interests include Bayesian Evidential Learning, reservoir modelling and updating, uncertainty quantification, time-lapse reservoir monitoring. David has authored more than 10 publications in peer-reviewed journals and international conferences. He was awarded the SEG Frans and Alice Hammons Award in 2014.
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