HR: 1340h
AN: GC13A-1205    [Abstracts]
TI: Compositional Streamline Simulation of CO2 Injection into Saline Aquifers
AU: * Jessen, K
EM: krisj@stanford.edu
AF: Stanford University Department of Petroleum Engieering, Green Earth Sciences Bldg. 367 Panama Street, 092, Stanford, CA 94305-2220 United States
AU: Orr, F M
EM: fmorr@stanford.edu
AF: Stanford University Department of Petroleum Engieering, Green Earth Sciences Bldg. 367 Panama Street, 092, Stanford, CA 94305-2220 United States
AB: If CO2 injection into geologic formations is undertaken on a large scale, high-resolution numerical methods will be needed that have low computational cost. Such simulations may be used to predict where injected CO2 is likely to flow, to interpret the volume and spatial distribution of the subsurface contacted by CO2, and to optimize injection operations. These elements will certainly be necessary if geological sequestration is proven feasible and public acceptance is to be gained. In this work we present and apply compositional streamline simulation for prediction of CO2 movement in saline aquifers during the time scale of injection. The key physics at play during the time scale of interest are convection, CO2 dissolution in the brine and gravity segregation. We demonstrate the efficiency and accuracy of the streamline approach for three-dimensional displacement calculations in heterogeneous porous media and compare the predicted fluid distributions with conventional fully-implicit finite-difference (FD) calculations based on a standard "Black oil" formulation. The compositional streamline approach is shown to require an order of magnitude less CPU time than the equivalent FD simulation, while at the same time predicting the CO2 distribution in excellent agreement with the conventional FD approach. Accordingly, the streamline approach allows for efficient assessment/ranking of potential sequestration sites under uncertainty.
DE: 4255 Numerical modeling (0545, 0560)
SC: Global Climate Change [GC]
MN: Fall Meeting 2005