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|Type:||Artigo de evento|
|Title:||Application Of Neural Network And Global Optimization In History Matching|
|Abstract:||This article presents the application of global optimizers combined with Artificial Neural Networks (ANN) to the history matching problem. An evolutionary algorithm is executed on the proxy generated through the ANN technique. The results obtained from evolutionary algorithms are fine-tuned by using a local optimizer based on the Hooke and Jeeves optimization method. The methodology is applied in two reservoir models and promising results were obtained.|
|Appears in Collections:||Unicamp - Artigos e Outros Documentos|
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