Dattagupta, Akhil individual record
Distinguished Professor

I have research interests in rapid flow simulation techniques, reservoir optimization, large-scale parameter estimation via inverse methods and uncertainty quantification/ assessments.

education and training
selected publications
Academic Articles100
  • Efendiev, Y., Datta-Gupta, A., Hwang, K., Ma, X., & Mallick, B. (2010). Bayesian Partition Models for Subsurface Characterization. Large-Scale Inverse Problems and Quantification of Uncertainty. (pp. 107-122). John Wiley & Sons, Ltd.
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  • Datta-Gupta, A., Devegowda, D., Oyerinde, D., & Cheng, H. (2008). The role of streamline models for dynamic data assimilation in petroleum engineering and hydrogeology. Studies in Computational Intelligence. Cai, X., & Yeh, T. (Eds.), Quantitative Information Fusion for Hydrological Sciences. (pp. 105-136). Springer Berlin Heidelberg.
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  • Coburn, T. C., Corbett, P., Datta-Gupta, A., Jensen, J. L., Kelkar, M., Oliver, D. S., & White, C. D. (2005). A Virtual Conversation on the Impact of Geostatistics in Petroleum, Production, and Reservoir Engineering. Stochastic Modeling and Geostatistics Principles, Methods, and Case Studies, Vol. II, AAPG Computer Applications in Geology 5. (pp. 23-33). AAPG.
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  • Long, J., Doughty, C., Datta-Gupta, A., Hestir, K., & Vasco, D. (2005). Component characterization: an approach to fracture hydrogeology. Dagan, G., & Neuman, S. P. (Eds.), Subsurface Flow and Transport. (pp. 179-195). Cambridge University Press.
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  • Datta-Gupta, A., Xue, G., & Lee, S. H. (1999). Nonparametric Transformations for Data Correlation and Integration: From Theory to Practice. Schatzinger, R. A., & Jordan, J. F. (Eds.), Reservoir Characterization Recent Advances. (pp. 381-396). AAPG.
Conference Papers137
chaired theses and dissertations
First Name
Last Name
mailing address
Texas A&M University; Petroleum Engineering; 3116 TAMU
College Station, TX 77843-3116