Abstract
ABSTRACT This paper describes a new computing environment for reservoir automatic history matching. A parallel simulated annealing algorithm is used to estimate geologic and reservoir engineering parameters by automatically matching production history of an actual oil reservoir. A complex computer set-up using two networks of workstations simultaneously, located at the New Mexico Petroleum Recovery Research Center (PRRC) and the Los Alamos National Laboratory (LANL), is used to test the concept of distributed optimization. A heterogeneous cluster of two workstations (HP and SUN) is used at the PRRC and a homogeneous cluster of six IBM RISC 6000 workstations is used at LANL. At each site (PRRC and LANL), a Parallel Virtual Machine is created by using the message passing software, PVM. Communication between the two parallel virtual machines located at the PRRC and LANL is achieved with a simple e-mail protocol. In this new environment, the total time required to complete a 22 well oil reservoir study lead to the following observation: two-thirds of the time was devoted to geologic, core, and well log analyses, and one-third of the time to history matching.
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