摘要
为将试井分析算法从传统单一计算节点转换为并行式、分布式计算模式,在OpenStack云计算架构基础上,通过Nova以及Swift项目实现计算节点分配和面向对象存储,使用改进后调度算法降低了系统计算资源负载。在保证计算精度的前提下,极大缩短了计算时间,实现了对计算效率要求很高的实时拟合过程。利用云平台的并行及分布式计算特点,提出试井分析中井底压力计算方法的并行新策略,实现了并行新算法,研发了基于云平台的试井分析软件。经100余口井例的计算对比,结果表明,基于OpenStack的新架构可以实现试井分析中偏微分方程复杂解析解的实时计算,是云平台试井分析的重要基础。
On the OpenStack architecture,Nova and Swift projects were used to implement computing node allocation and object-oriented storage to convert well test algorithm from a traditional single node to a parallel,distributed computing model,and consequently the computing resource load was reduced by using an improved scheduling algorithm.Under the premise of ensuring the calculation accuracy,the calculation time was greatly shortened,and the real-time fitting process that requires highly efficient calculation was realized.Taking the advantage of parallel and distributed computation of the cloud platform,a new parallel strategy was proposed for calculating the bottom hole pressure in well test analysis,a new parallel algorithm was established,and finally well test analysis software based on the cloud platform was developed.Applications in more than 100 wells show that the new architecture based on the OpenStack architecture can real-time calculate the complex analytical solutions of partial differential equations in well test analysis.It provides an important foundation for well test analysis on the cloud platform.
作者
何力
程诚
许嘉
李清宇
HE Li;CHENG Cheng;XU Jia;LI Qingyu(School of Information Science and Technology,University of Science and Technology of China,Hefei,Anhui 230026,China;Oil and Gas Center,University of Science and Technology of China,Hefei,Anhui 230026,China;Hefei Chengong Technology Co.,Ltd.Hefei,Anhui 230088,China)
出处
《油气井测试》
2020年第3期1-5,共5页
Well Testing
基金
国家科技部重大专项“致密油气藏多尺度介质复杂结构井数值试井分析方法及应用研究”(2017ZX05009005-002)。
关键词
云计算
试井分析
OPENSTACK
解析解
实时拟合
计算模式
cloud computing
well test analysis
OpenStack
analytical solution
real-time fitting
calculating mode
作者简介
第一作者/通讯作者:何力,男,1975年出生,硕士,讲师,1999年毕业于中国科学技术大学电子工程专业,现主要从事云计算、模式识别、油气试井解释等工作,电话:0551-63602836,13637079460,Email:heli@ustc.edu.cn,通信地址:安徽省合肥市金寨路96号中国科学技术大学信息学院,邮政编码:230026。
