FINITE ELEMENT APPROXIMATION OF OPTIMAL CONTROL FOR SYSTEM GOVERNED BY IMMISCIBLE DISPLACEMENT IN POROUS MEDIA

In this work, we study the finite element approximation of a model optimal control problem governed by the system describing the two-phase incompressible flow in porous media, with the aim to maximize production of oil from petroleum reservoirs. We first give the proof for the existence of the solutions of the control problem. The optimality conditions are then obtained and the existence of the solution of the adjoint equations is shown. After that we consider its finite element approximation. We have obtained the a priori error estimates with the optimal orders and minimum regularity requirements. Finally, we carry out some numerical tests. 1. Motivation The field of petroleum engineering is concerned with the search for ways to extract more oil and gas from the earths subsurface. In a world in which an increase in production of tenths of a percentage may result into a growth in profit of millions of dollars, no stone is left unturned. A common technique in oil recovery, known as "water flooding", makes use of two types of wells: injection and production wells. The production wells are used to transport liquid and gas from the reservoir to the subsurface. The injection wells inject water into the oil reservoir with the aim to push the oil towards the production wells and keep up the pressure difference. The oil-water front progresses toward the production wells until water breaks through into the production stream. An increasing amount of water is used, while the oil production rate diminishes, until at some time the recovery is no longer profitable and production is brought to an end. Using water flooding, up to about 35 percent of the oil can be recovered economically. Due to the strongly heterogeneous nature of oil reservoirs, the oil- water front does not travel uniformly towards the production wells, but is usually irregularly shaped. As a result, large amounts of oil may be still trapped within the reservoir as water breakthrough occurs and production is brought to an end. Recent advances in petroleum engineering allow for advanced well downhole measurement and control devices, which expand the possibilities to manipulate and control fluid flow paths through the oil reservoir. The ability to manipulate the progression of the oil-water front provides the possibility to search for a con- trol strategy that will result in maximization of oil recovery. A straightforward approach to find such a control strategy is to use the optimal control technique to increase recovery by delaying water breakthrough and increasing sweep, based on a predictive reservoir model. Obviously, this problem can be described as an optimal control problem of PDEs where the goal is to find a control q over a time interval

[1]  Philippe G. Ciarlet,et al.  The finite element method for elliptic problems , 2002, Classics in applied mathematics.

[2]  Richard E. Ewing,et al.  The Mathematics of Reservoir Simulation , 2016 .

[3]  J. Haslinger,et al.  Finite Element Approximation for Optimal Shape Design: Theory and Applications , 1989 .

[4]  G. Burton Sobolev Spaces , 2013 .

[5]  Richard E. Ewing,et al.  The approximation of the pressure by a mixed method in the simulation of miscible displacement , 1983 .

[6]  Walter Alt,et al.  Convergence of finite element approximations to state constrained convex parabolic boundary control problems , 1989 .

[7]  Richard S. Falk,et al.  Approximation of a class of optimal control problems with order of convergence estimates , 1973 .

[8]  Karl Kunisch,et al.  Second Order Methods for Optimal Control of Time-Dependent Fluid Flow , 2001, SIAM J. Control. Optim..

[9]  Dan Tiba,et al.  ERROR ESTIMATES IN THE APPROXIMATION OF OPTIMIZATION PROBLEMS GOVERNED BY NONLINEAR OPERATORS , 2001 .

[10]  T. F. Russell,et al.  Finite Elements With Characteristics for Two-Component Incompressible Miscible Displacement , 1982 .

[11]  Fredi Tröltzsch,et al.  Second-Order Necessary and Sufficient Optimality Conditions for Optimization Problems and Applications to Control Theory , 2002, SIAM J. Optim..

[12]  K. Gröger,et al.  AW1,p-estimate for solutions to mixed boundary value problems for second order elliptic differential equations , 1989 .

[13]  J. J. Douglas,et al.  Finite Difference Methods for Two-Phase Incompressible Flow in Porous Media , 1983 .

[14]  T. F. Russell,et al.  Time Stepping Along Characteristics with Incomplete Iteration for a Galerkin Approximation of Miscible Displacement in Porous Media , 1985 .

[15]  F. Brezzi On the existence, uniqueness and approximation of saddle-point problems arising from lagrangian multipliers , 1974 .

[16]  Lei Yuan,et al.  Finite Element Approximations of an Optimal Control Problem with Integral State Constraint , 2010, SIAM J. Numer. Anal..

[17]  Sri Sritharan,et al.  Optimal Control Problems with State Constraints in Fluid Mechanics and Combustion , 1998 .

[18]  Dan Tiba,et al.  Optimal Control of Nonsmooth Distributed Parameter Systems , 1990 .

[19]  G. Tallini,et al.  ON THE EXISTENCE OF , 1996 .

[20]  Richard E. Ewing,et al.  Galerkin Methods for Miscible Displacement Problems in Porous Media , 1979 .

[21]  J. Lions Optimal Control of Systems Governed by Partial Differential Equations , 1971 .

[22]  Johanna Weiss,et al.  Optimal Shape Design For Elliptic Systems , 2016 .

[23]  P. Neittaanmäki,et al.  Optimal Control of Nonlinear Parabolic Systems: Theory: Algorithms and Applications , 1994 .

[24]  T. F. Russell,et al.  Convergence analysis of an approximation of miscible displacement in porous media by mixed finite elements and a modified method of characteristics , 1984 .

[25]  L. Hou,et al.  FINITE-DIMENSIONAL APPROXIMATION OFA CLASS OFCONSTRAINED NONLINEAR OPTIMAL CONTROL PROBLEMS , 1996 .

[26]  L. R. Scott,et al.  The Mathematical Theory of Finite Element Methods , 1994 .

[27]  T. Geveci,et al.  On the approximation of the solution of an optimal control problem governed by an elliptic equation , 1979 .

[28]  Jean E. Roberts,et al.  Global estimates for mixed methods for second order elliptic equations , 1985 .

[29]  Fredi Tröltzsch,et al.  Error estimates for the discretization of state constrained convex control problems , 1996 .

[30]  K. Malanowski Convergence of approximations vs. regularity of solutions for convex, control-constrained optimal-control problems , 1982 .