IUCRC Planning Grant, Pennsylvania State University: Center for CO2 Storage Modeling, Analytics, and Risk Reduction Technologies (CO2-SMART)
IUCRC 规划拨款,宾夕法尼亚州立大学:二氧化碳封存建模、分析和风险降低技术中心 (CO2-SMART)
基本信息
- 批准号:2329323
- 负责人:
- 金额:$ 2万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-07-01 至 2024-06-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Geologic CO2 storage is a critical technology with enormous economic impact that can enable the global energy industry to meet their environmental, governance, and societal responsibilities. It will also help address climate change challenges while transitioning to renewable sources of energy. The magnitude of the economic impact of CO2 sequestration is unprecedented and there is strong buy-in from the federal government and the energy and other industrial sectors. This National Science Foundation Industry-University Cooperative Research Center (IUCRC) planning grant combines the expertise and power of talent and infrastructure of the University of Southern California and the Pennsylvania State University (Penn State) to create a 2-Site IUCRC. This combination of universities brings together geoscientists, data scientists, engineers, educators, and industry stakeholders to create a multi-sponsored research program designed to accelerate the development, adaptation, and deployment of novel technologies for improved modeling, continuous monitoring, imaging, analytics and risk assessment and mitigation for subsurface CO2 sequestration. Broader impacts of the activity will be to develop synergistic activities that address the highest priorities of the private sector in carbon sequestration to help them overcome hurdles preventing them from offering new and improved products and services. A major contribution of any Center that comes from this meeting will be workforce training in carbon sequestration and public outreach to local primary teachers and schools. The role of the Penn State Site in the planned IUCRC is to integrate advances in geophysics/geochemical technologies and data science algorithms to improve characterization of reservoir and caprock response to CO2. It will also investigate effective energy economics and policies to propose best-practices that companies can readily adopt to ensure the economic success of future GCS projects. The specific research areas to the Penn State Site include: real-time seismic monitoring from the lab to the field, CO2-fluid-rock interactions and transport dynamics in confined pore spaces, and fluid permeability/porosity imaging of CO2–induced permeability evolution. It will also apply Machine Learning enabled multi-physics modeling to upscaling and data assimilation and determine economic drivers for Geologic CO2 Storage. Penn State workforce training efforts will be to develop a diverse and inclusive educational and outreach program for training the next generation of engineers and scientists to generate a technical workforce with essential skillsets to successfully deploy and operate long-term geologic CO2 sequestration projects. Penn State will recruit students from Fort Valley State University and Lincoln University, two Historically Black Colleges and Universities, to bring diverse perspectives into the carbon sequestration workforce. Additional outreach will include providing field trips for fourth graders in Centre County, PA to the Minerals Museum at Penn State.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.
二氧化碳地质封存是一项具有巨大经济影响的关键技术,可以使全球能源行业履行其环境、治理和社会责任。它还将有助于应对气候变化挑战,同时向可再生能源过渡。二氧化碳封存的经济影响之大是前所未有的,联邦政府、能源和其他工业部门都大力支持。 这个国家科学基金会产业大学合作研究中心(IUCRC)规划补助金结合了南加州大学和宾夕法尼亚州立大学(宾夕法尼亚州立大学)的专业知识和人才和基础设施的力量,以创建一个2站点IUCRC。这种大学的组合汇集了地球科学家,数据科学家,工程师,教育工作者和行业利益相关者,以创建一个多赞助的研究计划,旨在加速开发,适应和部署新技术,以改进建模,连续监测,成像,分析和风险评估以及地下二氧化碳封存的缓解。该活动的更广泛影响将是开发协同活动,解决私营部门在碳封存方面的最高优先事项,帮助他们克服阻碍他们提供新的和改进的产品和服务的障碍。本次会议产生的任何中心的一个主要贡献将是碳封存方面的劳动力培训和对当地小学教师和学校的公共宣传。宾夕法尼亚州立大学在计划中的IUCRC中的作用是整合地球物理学/地球化学技术和数据科学算法的进步,以改善储层和盖层对CO2的响应特性。它还将调查有效的能源经济学和政策,提出公司可以随时采用的最佳实践,以确保未来GCS项目的经济成功。宾夕法尼亚州立大学的具体研究领域包括:从实验室到现场的实时地震监测,CO2-流体-岩石相互作用和有限孔隙空间中的输运动力学,以及CO2引起的渗透率演化的流体渗透率/孔隙度成像。它还将应用机器学习支持的多物理建模来扩大规模和数据同化,并确定地质二氧化碳储存的经济驱动因素。宾州州立大学的劳动力培训工作将制定一个多样化和包容性的教育和推广计划,以培训下一代工程师和科学家,培养一支具有基本技能的技术队伍,成功部署和运营长期地质二氧化碳封存项目。宾州州立大学将从福特谷州立大学和林肯大学这两所历史上的黑人学院和大学招收学生,为固碳劳动力带来多样化的视角。额外的推广活动将包括为宾夕法尼亚州中心县的四年级学生提供实地考察,以参观宾夕法尼亚州立大学的矿物博物馆。该奖项反映了NSF的法定使命,并被认为值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估来支持。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Sanjay Srinivasan其他文献
Inferring migration of CO<sub>2</sub> plume using injection data and a probabilistic history matching approach
- DOI:
10.1016/j.egypro.2011.02.320 - 发表时间:
2011-01-01 - 期刊:
- 影响因子:
- 作者:
Sayantan Bhowmik;Sanjay Srinivasan;Steven L. Bryant - 通讯作者:
Steven L. Bryant
Reply to Letter to Editor “Consequences of a COVID-19 Pandemic on Ophthalmologists”
- DOI:
10.1007/s12262-020-02519-x - 发表时间:
2020-07-09 - 期刊:
- 影响因子:0.400
- 作者:
Sanjay Srinivasan - 通讯作者:
Sanjay Srinivasan
Modeling natural fracture networks using improved geostatistical inferences
- DOI:
10.1016/j.egypro.2019.01.508 - 发表时间:
2019-02-01 - 期刊:
- 影响因子:
- 作者:
Akshat Chandna;Sanjay Srinivasan - 通讯作者:
Sanjay Srinivasan
Application of Reinforcement Learning in Geostatistical Modeling Workflows
- DOI:
10.1007/s11004-025-10180-x - 发表时间:
2025-03-11 - 期刊:
- 影响因子:3.600
- 作者:
Baran Can Yucel;Sanjay Srinivasan - 通讯作者:
Sanjay Srinivasan
Immunomodulatory therapy in non-infectious Uveitis: Current landscape, gaps, and future directions
- DOI:
10.1016/j.preteyeres.2025.101380 - 发表时间:
2025-09-01 - 期刊:
- 影响因子:14.700
- 作者:
Rupesh Agrawal;Yun Yao Goh;William Rojas-Carabali;Carlos Cifuentes-González;Sanjay Srinivasan;Bernard Yu-Hor Thong;Alejandra de-la-Torre;Cesar Michael Samson;Jyotirmay Biswas;Robert Patrick Finger;John H. Kempen - 通讯作者:
John H. Kempen
Sanjay Srinivasan的其他文献
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{{ truncateString('Sanjay Srinivasan', 18)}}的其他基金
BIGDATA: Collaborative Research: IA: F: Fractured Subsurface Characterization Using High Performance Computing and Guided by Big Data
BIGDATA:协作研究:IA:F:使用高性能计算和大数据指导的断裂地下表征
- 批准号:
1546251 - 财政年份:2016
- 资助金额:
$ 2万 - 项目类别:
Standard Grant
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