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作 者:赵仁腾 赵培之 崔京彬 李博闻 王森[1] 马庆龙[1] 高雨好 ZHAO Renteng;ZHAO Peizhi;CUI Jingbin;LI Bowen;WANG Sen;MA Qinglong;GAO Yuhao(Qingdao Institute of Software\College of Computer Science and Technology,China University of Petroleum(East China),Qingdao,Shandong 266580,China;Geophysical Exploration Technology Research Center,Petrochina Petroleum Exploration Software National Engineering Research Center Co.,LTD,Zhuozhou,Hebei 072750,China)
机构地区:[1]中国石油大学(华东)青岛软件学院、计算机科学与技术学院,山东青岛266580 [2]中油油气勘探软件国家工程研究中心有限公司物探技术研究中心,河北涿州072750
出 处:《数学建模及其应用》2024年第3期26-32,共7页Mathematical Modeling and Its Applications
基 金:中国石油集团公司关键核心技术攻关项目(2021ZG03-03)。
摘 要:在油藏数值模拟领域,黑油模型是最为成熟和广泛应用的模型,成熟地掌握黑油模型的求解、仿真模拟技术对于油气田开发生产具有极强的现实意义.为了加强对石油渗流规律的认识,本文首先通过Python语言实现了黑油模型,并通过Bendiksen、W&G、MAE三种算法进行对比;其次,使用Pyinstaller封装技术将Python语言模型转换成.exe格式的黑油模型数值求解器;最后,将.exe格式的黑油模型求解器引入到FastCAE开源平台中,实现油田场景下可使用的黑油模型的模块化开发.In the field of numerical simulation of oil reservoir,black oil model is the most mature and widely used model,and the mature mastery of black oil model solution,simulation and simulation technology is of great practical significance for oil and gas field development and production.In order to strengthen the understanding of oil seepage law,this paper firstly implements the black oil model through Python language and compares the three algorithms of Bendiksen,W&G and MAE;secondly,we use Pyinstaller to convert the Python language model into a numerical solver of the black oil model with the format of.exe;finally,the.exe format black oil model numerical solver is introduced into the FastCAE open source platform to realize the modular development of the black oil model that can be used in oil field scenarios.
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