Argha Namhata brings experience in numerical modeling to evaluate environmental systems, environmental statistics, risk assessment, and decision support systems. He specializes in the development of conceptual and numerical modeling tools for solving single-and multi-phase flow problems in heterogenous media. Argha has developed science-based prediction tools for evaluating the performance of engineered–natural systems being used for the long-term storage of carbon dioxide (CO2). This includes developing reduced order models of computationally expensive numerical reservoir models of groundwater and reservoir flow. In support of radioactive waste disposal programs, he analyzes different gas flow repository models and heat flow models, as well as host rock geohydrologic models in two and three dimensions for different low-/intermediate-level waste (L/ILW) and high-level waste (HLW) repository sites. Argha also supports various statistical analysis and stochastic modeling efforts for uncertainty analysis of coupled thermo-hydro-mechanical (THM) gas transport processes relevant to radioactive waste storage. His experience includes design of simulation tools to evaluate leak detection at geologic CO2 sequestration sites and shale gas extraction wells, as well as techniques to aid in the analysis and forecasting of induced seismicity due to fluid injection or production from subsurface systems. Argha has also developed a data-driven uncertainty quantification toolkit for conducting probabilistic risk assessments of environmental systems.
Argha Namhata, PhD
PhD, Environmental Engineering, Carnegie Mellon University, 2016
MS, Civil & Environmental Engineering, Carnegie Mellon University, 2013
BS, Civil Engineering, National Institute of Technology, India, 2012