Petroleum Exploration and Development >

2020 , Vol. 47 >Issue 1: 154 - 160

DOI: https://doi.org/10.1016/S1876-3804(20)60014-3

RESEARCH PAPER

Harmony search optimization applied to reservoir engineering assisted history matching

  • Mohamed SHAMS ,
  • Ahmed EL-BANBI ,
  • Helmy SAYYOUH
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  • 1. Dana Gas, Plot 188, City Center, 5th Settlement, New Cairo, 11835 Egypt
    2. Petroleum Engineering Department, AUC/Cairo University, New Cairo/Giza, 11835/12613 Egypt
    3. Petroleum Engineering Department, Cairo University, Giza, 12613 Egypt

Received date: 2019-02-16

  Revised date: 2019-12-05

  Online published: 2020-02-19

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Abstract

Based on the analysis of characteristics and advantages of HSO (harmony search optimization) algorithm, HSO was used in reservoir engineering assisted history matching of Kareem reservoir in Amal field in the Gulf of Suez, Egypt. HSO algorithm has the following advantages: (1) The good balance between exploration and exploitation techniques during searching for optimal solutions makes the HSO algorithm robust and efficient. (2) The diversity of generated solutions is more effectively controlled by two components, making it suitable for highly non-linear problems in reservoir engineering history matching. (3) The integration between the three components (harmony memory values, pitch adjusting and randomization) of the HSO helps in finding unbiased solutions. (4) The implementation process of the HSO algorithm is much easier. The HSO algorithm and two other commonly used algorithms (genetic and particle swarm optimization algorithms) were used in three reservoir engineering history match questions of different complex degrees, which are two material balance history matches of different scales and one reservoir history matching. The results were compared, which proves the superiority and validity of HSO. The results of Kareem reservoir history matching show that using the HSO algorithm as the optimization method in the assisted history matching workflow improves the simulation quality and saves solution time significantly.

Key words： reservoir engineering; assisted history matching; optimization algorithm; harmony search optimization algorithm

Cite this article

Mohamed SHAMS , Ahmed EL-BANBI , Helmy SAYYOUH . Harmony search optimization applied to reservoir engineering assisted history matching[J]. Petroleum Exploration and Development, 2020 , 47(1) : 154 -160 . DOI: 10.1016/S1876-3804(20)60014-3

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