Akhil Datta-Gupta

Educational Background

- Rapid flow simulation techniques, reservoir optimization, large-scale parameter estimation via inverse methods, and uncertainty quantification and assessments
- Streamline simulation and applications
- Inverse modeling and multi-scale data integration
- Geostatistics and stochastic reservoir characterization
- Modeling and scale-up of enhanced oil recovery

John Franklin Carll Award, Society of Petroleum Engineers
Outstanding Contributions to Basic Research in Geosciences, U.S. Department of Energy, Basic Energy Sciences Division
Lester C. Uren Award, Society of Petroleum Engineers

Mishra, S., Schuetter, J., Datta-Gupta, A., and Bromhal, G. 2021. Robust Data-Driven Machine-Learning Models for Subsurface Applications: Are We There Yet?. Journal of Petroleum Technology 73 (2021): 25–30. doi: https://doi.org/10.2118/0321-0025-JPT.
Sen, D., Chen, H., and Datta-Gupta, A. 2021. Inter-well connectivity detection in CO2 WAG projects using statistical recurrent unit models. Fuel, 122600.
Sen, D., Chen, H., Datta-Gupta, A., Kwon, J., and Mishra, S. 2021. Machine Learning based Rate Optimization Under Geologic Uncertainty. Journal of Petroleum Science and Engineering. https://doi.org/10.1016/j.petrol. 2021.109116.
Applied Statistical Modeling and Data Analytics, Srikanta Mishra and Akhil Datta-Gupta, Elsevier Inc. (October 2017). ISBN: 978-0-12-803279-4.
Subsurface Imaging and Fluid Flow, D. W. Vasco and Akhil Datta-Gupta, Cambridge University Press (August 2016). ISBN: 978-0-521-51633-4.