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This document describes using a genetic algorithm to optimize reservoir models by matching production histories. It aims to estimate uncertainty in predicted future production. The genetic algorithm generates populations of models that fit historic production data. This allows estimating prediction uncertainty by spanning the parameter space compatible with the known production history. The method is tested on a synthetic oil field case where the true reservoir properties were unknown. The genetic algorithm
- Author
- Gerry
- Language
- EN