Streamline simulation, fast marching methods, history matching and science-informed machine learning for CO2 storage and unconventional reservoirs.
Akhil Datta-Gupta and Michael J. King. SPE Textbook Series No. 11, 2007.
Donald W. Vasco and Akhil Datta-Gupta. Cambridge University Press, 2016.
Srikanta Mishra and Akhil Datta-Gupta. Elsevier, 2017.
Reconciling geologic models with pressure, production, tracer and time-lapse seismic data.
Orders-of-magnitude faster performance assessment of unconventional wells.
Deep learning with reduced physics to image CO2 plumes from distributed sensors in near real time.
The MCERI group gathered for its end-of-year luncheon.
Dr. Datta-Gupta on CO2 plume imaging with accelerated deep-learning data assimilation.
Are universities preparing students for their careers? Dr. Datta-Gupta joined the panel in Houston.
Streamline tracing, history matching and reservoir management.
Fast marching simulator for unconventional reservoirs.
Model-free production data analysis and fracture diagnostics for shale and tight reservoirs.
Grid layer coarsening and upscaling of geologic models.
3-D grid coarsening and upscaling of simulation models.
Free tools for data correlation, electrofacies and streamline simulation.
