01081nab a2200205 4500 20260520001817.0 260224s2008 xxu Application of neural network and global optimization in history matching nov. 2008 31/01/2011 ; 31/01/2011 4 p. ; 22-25 Transcripción del resumen del autor. 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. 11 Journal of Canadian Petroleum Technology 47 ARTICULO Silva, P.C. 44377 Maschio, C. 44378 Schiozer, D.J. 9519 173075 173075 0 0 0 0 240894 BAAB BAAB 2026-03-05 200051056 0 200051056 2026-03-05 16:09:01 2026-03-05 ARTICULO