School of Earth, Energy and Environmental Sciences
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Postdoctoral Scholar, Earth System Science
BioI am an ecosystem ecologist using data-driven approaches to study global environmental changes, including climate change, land use land cover change, and coupled natural and human (CNH) systems. My data comes from both remote sensing observation and field measurements. My current project is studying methane emissions from abandoned oil and gas wells and from home appliances in California.
David Zhen Yin
Postdoctoral Scholar, Geological Sciences
BioDavid 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 subsurface earth resources(including groundwater, oil&gas, geothermal reservoir and minerals).
Prior to joining Stanford, David was a Research Associate (Reservoir Geophysics) at Edinburgh Time-Lapse Project at Heriot-Watt University in Scotland, leading a research project in collaboration with Equinor from 2016 to 2018. He developed the “WELL2SEIS” technique that efficiently integrate 4D seismic with reservoir engineering data to improve reservoir forecasting. This technique has been applied to seven North Sea projects by 2018, and has become Equinor's standard in-house technology. During this period, he was also a Technology Consultant at Equinor's 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 Geosciences from Heriot-Watt University, UK, in 2016, and B.Eng from China University of Petroleum in 2011. His research interests include Bayesian Evidential Learning, geological modeling and uncertainty quantification. 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.