This paper describes a new iterative technique for the solution of linear systems of equations arising in petroleum reservoir simulation. The procedure exploits a powerful, vectorizable preconditioner to accelerate generalized conjugate residual methods. Speed and robustness of the new method compare favorably with previously published schemes. These attributes will be demonstrated in actual applications.

Keywords:
eigenvalue, preconditioner, correction, matrix, residual constraint, eigenspace, convergence, reservoir simulation, artificial intelligence, kendall
Subjects:
Reservoir Simulation, Information Management and Systems
Copyright 1985, Society of Petroleum Engineers
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