CAREER: Mathematical Analysis and Numerical Methods for the Underground Oil Recovery Models

职业：地下石油采收模型的数学分析和数值方法

• 批准号: 1752709
• 负责人: Ying Wang
• 金额: $ 40.01万
• 依托单位: University of Oklahoma Norman Campus
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-06-15 至 2024-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1752709&HistoricalAwards=false
• 关键词: CAREER; Mathematical; Analysis; Numerical; Methods

This CAREER award supports a coordinated set of research and educational activities with the goals of elucidating the modeling and computation of underground oil recovery and stimulating the environment for research and study in applied analysis and computation at the University of Oklahoma. The project involves the Oklahoma Applied Analysis & Computing Group, a team consisting of undergraduate and graduate students, postdoc researchers, University of Oklahoma faculty, and faculty from Oklahoma's network of universities and colleges.Accurate mathematical analysis and efficient numerical methods play a more and more important role in studying partial differential equation (PDE) models in the petroleum industry. The goal of this project is to perform research in the mathematical analysis and high order accuracy numerical methods design for the PDE models describing the water-drive secondary underground oil recovery. The PI will combine mathematical analysis, numerical scheme design and computational techniques in our proposed research. The mathematical analysis is based on PDE theory, and the numerical methods proposed are based on state-of-the-art discontinuous Galerkin (DG) schemes. Furthermore, the obtained results will be cross-validated using data from laboratory experiments provided by the PI's academic collaborator, and oil reservoir simulation provided by the PI's industry collaborator. The interdisciplinary nature of this project will provide an environment of communication and collaboration, as well as provide an opportunity for students at different levels and with diverse background to apply mathematical and computational tools to investigate the underground oil recovery models.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该职业奖支持一组协调的研究和教育活动，其目标是阐明地下石油回收的建模和计算，并刺激俄克拉荷马大学应用分析和计算的研究和研究环境。该项目涉及俄克拉荷马州应用分析和计算小组，该小组由本科和研究生，博士后研究人员，俄克拉荷马大学教职员工以及俄克拉荷马州大学和大学网络的教职员工组成。准确的数学分析和有效的数值方法在研究中较重要的数值分析扮演了越来越重要的角色，从而在研究中较重要的是pet native aptial extignial extignial interial extignial intemial extiltial inter nocal of Petral inte pet nocal of Pete inte tope inte tope repte of Pete a pde（pde）。该项目的目的是为PDE模型进行数学分析和高阶精度数值方法设计，描述了二次驱动次级地下油的回收率。 PI将在我们提出的研究中结合数学分析，数值方案设计和计算技术。数学分析基于PDE理论，并且提出的数值方法基于最新的不连续Galerkin（DG）方案。此外，使用PI学术合作者提供的实验室实验的数据以及PI行业合作者提供的石油储层模拟将对获得的结果进行交叉验证。该项目的跨学科性质将提供沟通和协作的环境，并为不同级别的学生提供了一个机会，并具有多样化的背景来应用数学和计算工具，以调查地下油回收模型。该奖项反映了NSF的法定任务，并被认为是通过该基金会的知识分子功能和广泛影响的评估来审查CRETERIA的评估，并被认为是值得的。