Dattagupta, Akhil
individual record
Distinguished Professor
Positions:
- Distinguished Professor, Petroleum Engineering, College of Engineering
overview
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
- Ph.D. in Petroleum Engineering, The University of Texas at Austin - (Austin, Texas, United States) 1992
- M.S. in Petroleum Engineering, The University of Texas at Austin - (Austin, Texas, United States) 1985
- B.S. in Petroleum Engineering, Indian Institute of Technology - (Dhanbad, Jharkhand, India) 1982
selected publications
Academic Articles123
- Sen, D., Chen, H., & Datta-Gupta, A. (2022). Inter-well connectivity detection in CO2 WAG projects using statistical recurrent unit models. Fuel. 311, 122600-122600.
- Sen, D., Chen, H., Datta-Gupta, A., Kwon, J., & Mishra, S. (2021). Machine learning based rate optimization under geologic uncertainty. Journal of Petroleum Science and Engineering. 207, 109116-109116.
- Kim, H., Onishi, T., Chen, H., & Datta-Gupta, A. (2021). Parameterization of embedded discrete fracture models (EDFM) for efficient history matching of fractured reservoirs. Journal of Petroleum Science and Engineering. 204, 108681-108681.
- Chen, H., Onishi, T., Park, J., & Datta-Gupta, A. (2021). Computing Pressure Front Propagation Using the Diffusive-Time-of-Flight in Structured and Unstructured Grid Systems via the Fast-Marching Method. SPE Journal. 26(3), 1366-1386.
- Mishra, S., Schuetter, J., Datta-Gupta, A., & Bromhal, G. (2021). Robust Data-Driven Machine-Learning Models for Subsurface Applications: Are We There Yet?. JPT, Journal of Petroleum Technology. 73(03), 25-30.
Books3
- Vasco, D. W., & Datta-Gupta, A. (2016). Subsurface fluid flow and imaging: With applications for hydrology, reservoir engineering, and geophysics.
- Vasco, D. W., & Datta-Gupta, A. (2016). Subsurface Fluid Flow and Imaging. Cambridge University Press (CUP).
Chapters15
- Mishra, S., & Datta-Gupta, A. (2018). Chapter 2 Exploratory Data Analysis. Applied Statistical Modeling and Data Analytics. 15-29. Elsevier.
- Mishra, S., & Datta-Gupta, A. (2018). Chapter 3 Distributions and Models Thereof. Applied Statistical Modeling and Data Analytics. 31-67. Elsevier.
- Mishra, S., & Datta-Gupta, A. (2018). Chapter 4 Regression Modeling and Analysis. Applied Statistical Modeling and Data Analytics. 69-96. Elsevier.
- Mishra, S., & Datta-Gupta, A. (2018). Chapter 5 Multivariate Data Analysis. Applied Statistical Modeling and Data Analytics. 97-118. Elsevier.
- Mishra, S., & Datta-Gupta, A. (2018). Chapter 6 Uncertainty Quantification. Applied Statistical Modeling and Data Analytics. 119-167. Elsevier.
Conference Papers166
- Onishi, T., Chen, H., Xie, J., Tanaka, S., Kam, D., Wang, Z., Wen, X., & Datta-Gupta, A. (2022). Streamline Tracing and Applications in Dual--Porosity Dual--Permeability Models. SPE Journal, Day 1 Tue, October 26, 2021. 27(4), 1943-1961.
- Chen, H., Sen, D., Datta-Gupta, A., & Nagao, M. (2021). Model-Free Assessment of Inter-Well Connectivity in CO2 WAG Projects Using Statistical Recurrent Unit Models. Day 2 Wed, September 22, 2021.
- Yao, C., Chen, H., Onishi, T., Datta-Gupta, A., Mawalkar, S., Mishra, S., & Pasumarti, A. (2021). Robust CO2 Plume Imaging Using Joint Tomographic Inversion of Distributed Pressure and Temperature Measurements. Day 2 Wed, September 22, 2021.
- Onishi, T., Chen, H., Datta-Gupta, A., & Mishra, S. (2021). An Efficient Deep Learning-Based Workflow Incorporating a Reduced Physics Model for Subsurface Imaging in Unconventional Reservoirs. Day 3 Thu, September 23, 2021.
- Park, J., Chen, R., Datta-Gupta, A., Lele, S., & Tyrrell, T. (2021). Quantitative Assessment of Induced Seismicity from Hydrocarbon Production and Produced Water Disposal in Azle Area, North Texas. Proceedings of the 9th Unconventional Resources Technology Conference.
Repository Documents / Preprints1
- Olalotiti-Lawal, F., Tanaka, S., & Datta-Gupta, A. (2020). Streamline-Based Simulation of Carbon Dioxide Sequestration in Saline Aquifers.
Theses1
- Liu, T., Chen, H., Hetz, G., & Datta-Gupta, A. (2020). Integration of time-lapse seismic data using the onset time approach: The impact of seismic survey frequency.
researcher on
Principal Investigator1
awards and honors
recent teaching activities
- ICPE602 Reservoir Characterization Instructor
- PETE323 Fund Of Reservoir Engr Instructor
- PETE630 Geostat & Data Analytics Instructor
- PETE630 Geostatistics Instructor
- PETE633 Data Int Pete Resrvoirs Instructor
chaired theses and dissertations
- Kareepadath Sajeev, Shyam (2020-07). Application of Deep Learning for Understanding Dynamic Well Connectivity. (Master's Thesis)
- Chen, Hongquan (2018-11). Streamline Tracing and Sensitivity Calculation in Fractured Reservoir with Complex Geometry: Field Application to History Matching and Flood Optimization. (Doctoral Dissertation)
- Iino, Atsushi (2018-11). Efficient History Matching and Optimization of Unconventional Reservoirs Using the Fast Marching Method. (Doctoral Dissertation)
- Ebin, Joshua Prince (2018-08). Coupled Fluid Flow and Geomechanical Modeling of Induced Seismicity. (Master's Thesis)
- Higuera Barrero, David Alejandro (2018-04). Reservoir Fluid and Rock Characterization of a Peruvian Oil Reservoir. (Master's Thesis)
Email
datta-gupta@tamu.edu
First Name
Akhil
Last Name
Dattagupta
mailing address
Texas A&M University; Petroleum Engineering; 3116 TAMU
College Station, TX 77843-3116
USA
UN Sustainable Development Goals:
UN Sustainable Development Goals: