Genetic Algorithm for the History Matching Problem | Zendy

Carolina Ribeiro Xavier | Zendy; Elisa Portes dos Santos | Zendy; Vinícius da Fonseca Vieira | Zendy; Rodrigo Weber dos Santos | Zendy

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Genetic Algorithm for the History Matching Problem

Author(s) -

Carolina Ribeiro Xavier,

Elisa Portes dos Santos,

Vinícius da Fonseca Vieira,

Rodrigo Weber dos Santos

Publication year - 2013

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2013.05.260

Subject(s) - computer science , credibility , matching (statistics) , genetic algorithm , process (computing) , algorithm , set (abstract data type) , field (mathematics) , data mining , artificial intelligence , machine learning , statistics , mathematics , political science , pure mathematics , law , programming language , operating system

In this work we present a study of genetic algorithms for the automatic history matching problem of reservoir simulation. The history matching process is an inverse problem that searches a set of parameters that minimizes the difference between the model performance and the historical performance of the field. This model validation process is essential and gives credibility to the predictions of the reservoir model.We studied a Parallel Genetic Algorithm implementation, several tests were performed and the preliminary results are presented and discussed in this work

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