Please use this identifier to cite or link to this item:
Type: Artigo
Title: A new framework for geostatistics-based history matching using genetic algorithm with adaptive bounds
Author: Maschio, Célio
Davolio, Alessandra
Correia, Manuel Gomes
Schiozer, Denis José
Abstract: To maintain geological consistency, it is necessary to carry out the history matching process integrated to the geostatistical modeling. However, this integration leads to a complex optimization problem because the relationship between the input and output variables can be highly nonlinear. The purpose of this paper is to present a framework to integrate the history matching of production and seismic-derived dynamic data through a genetic algorithm with adaptive bounds. A new procedure is proposed to reduce the range of the parameters during the optimization process. The methodology was applied to a synthetic reservoir model with structural and petrophysical properties similar to a real reservoir and the results showed that it is possible to apply genetic algorithm in the integration of history matching and geostatistical modeling with feasible computational effort in terms of number of flow simulations
Subject: Geologia - Métodos estatísticos
Country: Países Baixos
Editor: Elsevier
Rights: Fechado
Identifier DOI: 10.1016/j.petrol.2015.01.033
Date Issue: 2015
Appears in Collections:FEM - Artigos e Outros Documentos
Cepetro - Artigos e Outros Documentos

Files in This Item:
File Description SizeFormat 
2-s2.0-84922962657.pdf3.95 MBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.