A new framework for geostatistics-based history matching using genetic algorithm with adaptive bounds

被引:11
作者
Maschio, Cello [1 ]
Davolio, Alessandra [1 ]
Correia, Manuel Gomes [1 ]
Schiozer, Denis Jose [1 ]
机构
[1] Univ Estadual Campinas, DEP FEM CEPETRO, BR-13083970 Campinas, SP, Brazil
关键词
reservoir simulation; history matching; genetic algorithm; geostatistical modeling; SEISMIC DATA; RESERVOIR;
D O I
10.1016/j.petrol.2015.01.033
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
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. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:387 / 397
页数:11
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