A New Optimization Approach to Multiphase Flow




Lawrence C. Cowsar
Lucent Technologies
600 Mountain Avenue
Murray Hill, NJ 07974

Roland Glowinski
Department of Mathematics
University of Houston
Houston, TX 77204

Anthony J. Kearsley
Department of Mathematical Sciences
Carnegie Mellon University
Pittsburgh, PA 15213
email: kearsley@andrewlcmu.edu

Mary F. Wheeler
Texas Institute of Computational and Applied Mathematics
University of Texas at Austin
Austin, TX 78712

and

Ivan Yotov
Department of Mathematics
University of Pittsburgh
Pittsburgh, PA 15260

ABSTRACT: A new optimization formulation for simulating multiphase flow in porous media is inroduced. A locally mass conservative mixed finite element method is employed for the spatial discretization. An unconditionally stable fully implicit time discretization is used and leads to a coupled system of nonlinear equations that must be solved at each time step. We reformulate this sytem as a least squares problem with simple bounds involving only one of the phase saturations. Both a Gauss-Newton method and a BFGS secant method are considered as potential solvers for the optimization problem. Each evaluation of the least squares objective function and gradient requires solving two single-phase self-adjoint, linear, uniformly elliptic partial differential equations for which very efficient solution techniques have been developed.




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