Harmony search optimization applied to reservoir engineering assisted history matching

作     者：SHAMS Mohamed EL-BANBI Ahmed SAYYOUH Helmy SHAMS Moharned;EL-BANBI Ahmed;SAYYOUH Helmy

作者机构：Dana GasPlot 188City Center5th SettlementNew Cairo11835 Egypt Petroleum Engineering DepartmentAUC/Cairo UniversityNew Cairo/Giza11835/12613 Egypt Petroleum Engineering DepartmentCairo UniversityGiza12613 Egypt 

出 版 物：《Petroleum Exploration and Development》 (石油勘探与开发（英文版）)

年 卷 期：2020年第47卷第1期

页      面：154-160页

核心收录：

学科分类：0709[理学-地质学] 0819[工学-矿业工程] 0808[工学-电气工程] 08[工学] 0820[工学-石油与天然气工程] 0818[工学-地质资源与地质工程] 0708[理学-地球物理学] 0807[工学-动力工程及工程热物理] 0815[工学-水利工程] 0816[工学-测绘科学与技术] 0813[工学-建筑学] 082002[工学-油气田开发工程] 0814[工学-土木工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 081202[工学-计算机软件与理论] 

主　　题：reservoir engineering assisted history matching optimization algorithm harmony search optimization algorithm 

摘      要：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.