A new framework for geostatistics-based history matching using genetic algorithm with adaptive bounds
Célio Maschio, Alessandra Davolio, Manuel Gomes Correia, Denis José Schiozer
ARTIGO
Inglês
Agradecimentos: The authors are grateful for the support of PETROBRAS S/A, Center of Petroleum Studies (Cepetro-Unicamp/Brazil), UNISIM and Petroleum Engineering Department (DEP-FEM-Unicamp/Brazil). The authors are also grateful to Schlumberger Information Solutions for the use of Petrel® and to the...
Ver mais
Agradecimentos: The authors are grateful for the support of PETROBRAS S/A, Center of Petroleum Studies (Cepetro-Unicamp/Brazil), UNISIM and Petroleum Engineering Department (DEP-FEM-Unicamp/Brazil). The authors are also grateful to Schlumberger Information Solutions for the use of Petrel® and to the Computer Modeling Group (CMG) for the use of IMEX
Ver menos
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...
Ver mais
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
Ver menos
Fechado
Maschio, Célio, 1968-
Autor
A new framework for geostatistics-based history matching using genetic algorithm with adaptive bounds
Célio Maschio, Alessandra Davolio, Manuel Gomes Correia, Denis José Schiozer
A new framework for geostatistics-based history matching using genetic algorithm with adaptive bounds
Célio Maschio, Alessandra Davolio, Manuel Gomes Correia, Denis José Schiozer
Fontes
Journal of petroleum science and engineering (Fonte avulsa) |