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Programs Home
CSEM Program
Postdoctoral Program
Visitors Program
Moncrief Programs
Faculty Fellowships
GC Faculty Awards
Undergraduate Internships
CSE Certificate Program
Abstract: Geologic sequestration is a proven means of permanent CO2 greenhouse gas storage, but it is difficult to design and manage such efforts. The goal of the computational grand challenge project is to accurately predict the fate of injected CO2 in conditions governed by multiphase flow, rock mechanics, multicomponent transport, thermodynamic phase behavior, chemical reactions within both the fluid and the rock, and the coupling of all these phenomena. A key modeling issue is large uncertainty in predicting subsurface CO2 flow rates, which results directly from uncertainties in characterizing formation permeability and porosity. Hence, an important challenge of this project is to characterize subsurface properties using measured field data in history matching algorithms. More precisely the ultimate goal of this project is a computational framework with advanced numerical algorithms and underlying technology for research in subsurface flow applications which has been validated and verified against field-scale experimental tests.