Abstract or Additional Information
A key goal of our work is to produce a prototypical computational system to accurately predict complex phenomena governed by multiphase flow, rock mechanics, multi-component transport, thermodynamic phase behavior, chemical reactions within both the fluid and the rock, and the coupling of all these phenomena over multiple time and spatial scales. This effort requires high accuracy in the physical models and their corresponding numerical approximations. For example, an error of one percent per year in a simulation may be of little concern when dealing with CO2 oil recovery flooding, but such an inaccuracy for sequestration will lead to significantly misleading results that could fail to produce any long-term predictive capability.
Here we discuss modeling multicomponent, multiscale, multiphase flow and transport through porous media and through wells and that incorporate uncertainty and history matching and include robust solvers. The coupled algorithms must be able to treat different physical processes occurring simultaneously in different parts of the domain, and for computational accuracy and efficiency, should also accomodate multiple numerical schemes. We discuss interface conditions that arise in coupling mechanics and fluids. In addition, we present results demonstrating accuracy of schemes as well as applications from demonstration sites and core scale experiments.