Assisted History Matching by Using Genetic Algorithm and Discrete Cosine Transform

Back in the days, before computers and IT were widely used, history matching was done manually by trial and error method, where personal judgment were very critical in undergoing such methodology. In other words, only highly-skilled and experienced engineers can perform history matching. Apart from that, the manual way consume too much time, especially when dealing with thousands of well parameters. Hence, this project, which propose the usage of assisted history matching technique with Genetic Algorithm (GA) as the optimization tool and Discrete Cosine Transform (DCT) as the parameter reduction method is carried out in order to achieve the objective of minimizing the time taken to do history matching.
To achieve the objective stated above, a conceptual reservoir model was built based on a set of average reservoir data. Next, fluid flow equations were derived to obtain the forward model and eventually, the objective function. Later, an algorithm combining both Genetic Algorithm and Discrete Cosine Transform was proposed, which shows the step-by-step sequence of both methods.
Overall, an algorithm showing the combination method of both GA and DCT was successfully developed. Then the proposed algorithm for DCT and GA can be applied to the history matching problem.
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