This episode is sponsored by TGS
Igor Kvasov, engineering manager at Google and co-founder of SeismoTrack, joins host Andrew Geary to discuss his new book, Numerical Modeling of Seismic Responses from Fractured Reservoirs by the Grid-characteristic Method. Igor and Andrew discuss just what is the grid-characteristic method and its advantages, the future of data acquisition and seismic surveys, why numerical modeling should be used more in survey planning, and Igor’s challenge to the geoscience community on numerical modeling.
Get your copy of Numerical Modeling of Seismic Responses from Fractured Reservoirs by the Grid-characteristic Method today!
Biography
Igor Kvasov graduated from Moscow Institute of Physics and Technology (MIPT), Russia, in 2008 (physics and applied mathematics). Having successfully completed his thesis on numerical simulation of wave processes in heterogeneous solid elastic bodies, Kvasov received his Ph.D. in physics and computer science from MIPT in 2011. During 2006–2015, he served as an associate professor at the MIPT Computer Science and Computational Mathematics Department. Currently, he works as an engineering manager at Google in California.
As part of his research in the numerical simulation of wave processes, Kvasov has made significant improvements in and broadened the abilities of the grid-characteristic method (GCM), including the ability to handle hundreds of thousands of fractures, which corresponds to the conditions of real fractured reservoirs, and the ability to model such 3D fractured prospects using unstructured grids. His research on the properties of seismic responses from fractured reservoirs helps solve the problem of their direct detection.
Sponsor
TGS is the global gateway to subsurface intelligence from seismic to well data. As a leading geoscience data provider to the energy industry TGS invests in onshore and offshore multi-client data projects in an array of basins worldwide – ranging from new-entry frontier markets to established, mature basins. TGS’s extensive data library portfolio services the entire upstream life cycle from exploration through the appraisal and development stage. Leveraging the breadth of this world-class library TGS enhances the exploration process through advanced analytics and analytics-ready data products.
Credits
Original music by Zach Bridges.
This episode was hosted, edited, and produced by Andrew Geary. Thank you to the SEG podcast team: Jennifer Crockett, Ally McGinnis, and Mick Swiney.
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