Tao Sun

Tao Sun

Senior Principal Geologist 63717 Tao Desktop /Portals/0/PackFlashItemImages/WebReady/sun-tau.jpg?width=200&height=235&quality=75&mode=crop&encoder=freeimage&progressive=true

Tao Sun is a senior principal geologist with Chevron Technology Center and is currently leading the research and development of science and technology to enable 3D prediction of reservoir architecture and performances by linking stratigraphy to fundamental physics processes using digital and high-performance computing technologies. Earlier in his career, Sun worked at ExxonMobil Upstream Research Company as an R&D researcher and late as senior technical advisor for Earth modeling. Sun received his bachelor’s degree in physics from Peking University, China, and a master’s and doctorate in physics from Oslo University, Norway. Sun is the recipient of the Norwegian Research Council Postdoctoral Fellowship and conducted his postdoctoral studies in St. Anthony Falls Laboratory, Minnesota.


Video Presentation


  • 63718 As oil and gas exploration and production occur in deeper basins and more complex geologic settings, accurate characterization and modeling of reservoirs to improve estimated ultimate recovery (EUR) prediction, optimize well placement and maximize recovery become paramount. Existing technologies for reservoir characterization and modeling have proven inadequate for delivering detailed 3D predictions of reservoir architecture, connectivity and rock quality at scales that impact subsurface flow patterns and reservoir performance. Because of the gap between the geophysical and geologic data available (seismic, well logs, cores) and the data needed to model rock heterogeneities at the reservoir scale, constraints from external analog systems are needed. Existing stratigraphic concepts and deposition models are mostly empirical and seldom provide quantitative constraints on fine-scale reservoir heterogeneity. Current reservoir modeling tools are challenged to accurately replicate complex, nonstationary, rock heterogeneity patterns that control connectivity, such as shale layers that serve as flow baffles and barriers. Integrated Reservoir Characterization and Modeling with Computational Stratigraphy
    Integrated Reservoir Characterization and Modeling with Computational Stratigraphy