2019 EJRNL PP OSHO ILAMAH 1.pdf
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Terbatas Suharsiyah
» ITB
Terbatas Suharsiyah
» ITB
Reservoir model history matching is a multiobjective optimization problem. It involves the adjustment of relevant
reservoir model input parameters, to minimize the mismatch between simulated and observed reservoir
responses and to obtain a diverse set of geologically plausible reservoir simulation models. Typically, single
objective optimization methods are adopted during history matching. This requires weighted sum scalarization.
However, scalarization biases the optimization search, limiting the diversity of the recovered solutions. In this
work, a computer assisted history matching procedure based on transform parameterization and a multiobjective
evolutionary algorithm with dominance and decomposition (MOEA/DD) is proposed. In the procedure, history
matching is treated as a multiobjective optimization problem, parameterized in terms of a small number of
kernel principal component analysis (KPCA) variables. KPCA provides efficient parameterization of the reservoir
model input property fields. Concurrently, MOEA/DD provides robust and unbiased optimization over multiple
objectives. The effectiveness of the proposed procedure is demonstrated with the UNISIM-I-H history matching
benchmark problem.