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 agenda will be posted soon. Overnight rooms can be requested on the registration form; details are in the invitation letter.
Register Invitation letter
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.
