CDI-Type II: Collaborative Research: Computational Models for Evaluating Long Term CO2 Storage in Saline Aquifers

CDI-Type II：合作研究：评估咸水层长期二氧化碳封存的计算模型

• 批准号: 0835436
• 负责人: Manish Parashar
• 金额: $ 31.8万
• 依托单位: Rutgers University New Brunswick
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-10-01 至 2013-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0835436&HistoricalAwards=false
• 关键词: CDI; Type; II; Collaborative; Research

Collaborative Research: Computational Models for Evaluating Long TermCO2 Storage in Saline AquifersThe key goal of this project is to produce a prototypicalcomputational system to accurately predict the fate of injected CO2in conditions governed by multiphase flow, rock mechanics,multicomponent transport, thermodynamic phase behavior, chemicalreactions within both the fluid and the rock, and the coupling of allthese phenomena over multiple time and spatial scales.To tackle this grand challenge effort, a multidisciplinary researchteam has been assembled of senior researchers M. F. Wheeler,T. Arbogast, and M. Delshad of the Center for Subsurface Modelingand I. Duncan from the Bureau of Economic Geology at TheUniversity of Texas at Austin, as well as M. Parashar ofthe Applied Software Systems Laboratory at Rutgers University. Thisgroup has expertise in (1) applied mathematics and computationalscience that includes multiscale and multiphysics algorithms, solvers,uncertainty, and optimization (2) computer sciencethat includes dynamic adaptivity, model/code couplings, and datamanagement and transport (3) compositional modeling andCO2 injection processes and (4) CO2 demonstration sites.In each of the third and fourth years of the project, we willhost a two-day workshop for high school teachers, advanced high schoolstudents, and undergraduate students with an interest in high schoolteaching. We will provide training in the use of a sophisticated groundwatersimulator, to be used as a tool to engage and pique the interest ofhigh schoolers, perhaps leading some to careers in mathematics, thesciences, and interdisciplinary work. In addition, two postdoctoralstudents and roughly two graduate students will be supportedthroughout the project.Geologic sequestration is a proven means of permanent CO2 greenhouse gasstorage, but it is difficult to design and manage such efforts. Predictivecomputational simulation may be the only means to account for the lack ofcomplete characterization of the subsurface environment, the multiple scales ofthe various interacting processes, the large areal extent of saline aquifers,and the need for long time predictions. This proposal will investigate highfidelity multiscale and multiphysics algorithms necessary for simulation ofmultiphase flow and transport coupled with geochemical reactions and relatedmineralogy, and geomechanical deformation in porous media to predict changes inrock properties during sequestration. The work will result in a prototypicalcomputational framework with advanced numerical algorithms and underlyingtechnology for research in CO2 applications, which has been validated andverified against field-scale experimental tests. The multidisciplinaryresearch team has expertise in (1) applied mathematics and computationalscience, (2) computer science and engineering, (3) compositional modeling andCO2 injection processes, and (4) CO2 demonstration sites.In each of the third and fourth years of the project, we willhost a two-day workshop for high school teachers, advanced high schoolstudents, and undergraduate students with an interest in high schoolteaching. We will provide training in the use of a sophisticated groundwatersimulator, to be used as a tool to engage and pique the interest ofhigh schoolers, perhaps leading some to careers in mathematics, thesciences, and interdisciplinary work. In addition, two postdoctoralstudents and roughly two graduate students will be supportedthroughout the project.

协作研究：用于评估盐水中的长期Co2存储的计算模型，该项目的关键目标是产生一个原型计算系统，以准确预测由多相动力，多组分机械，多组分的运输，热力学相行为，多重时间和cock ock and cocepling of coo2 co2 co2in条件的命运Scales.为了应对这项巨大的挑战工作，一项多学科研究员由高级研究人员M. F. Wheeler，T。 Arbogast和M. Delshad的地下建模中心和I. Duncan的M. Duncan来自德克萨斯州大学的经济地质局，以及Rutgers University的应用软件系统实验室的M. Parashar。该组在（1）应用的数学和计算学上具有专业知识，包括多尺度和多物理学算法，求解器，不确定性和优化（2）计算机sciencethat包括动态适应性，模型/代码/代码/代码耦合，以及数据启动和运输（3）组成和CO2注射过程和四年的介绍和四年的介绍（4）codection and（4）coy2 coy2 coy2 coy2 coy2） Willhost为高中教师，高级高级学校学生和本科生进行了为期两天的研讨会，对高中教学感兴趣。我们将提供用于使用复杂地下水模拟器的培训，该工具被用作吸引和引起高中生的兴趣的工具，也许会导致一些人从事数学，学科和跨学科工作的职业。 此外，将支持两名博士后学生和大约两个研究生。 预测委托模拟可能是解释地下环境缺乏集合表征的唯一手段，各种相互作用过程的多个尺度，盐水含水层的大面积以及长期预测的需求。 该提案将研究较高的多体性和多物理学算法，以模拟发生变性的流动和转运与地球化学反应和相关性静态学以及多孔介质中的地球力学变形，以预测序列过程中的变化。 这项工作将导致具有高级数值算法和二氧化碳应用研究的基础技术的原型计算框架，该研究已经过验证，并针对现场规模的实验测试进行了验证。 多学科研究团队在（1）应用数学和计算学方面具有专业知识，（2）计算机科学和工程，（3）组成模型和CO2注入过程，以及（4）二氧化碳演示站点。在项目的第三年和第四年中，我们将为高级教师提供两周的教师，高级学生，高级学生，以及高中生的高中生，以及高中生的兴趣。我们将提供用于使用复杂地下水模拟器的培训，该工具被用作吸引和引起高中生的兴趣的工具，也许会导致一些人从事数学，学科和跨学科工作的职业。 此外，将支持该项目的两个博士后学生和大约两个研究生。