Collaborative Research: ITR/AP&IM A Data Intense Challenge: The Instrumented Oil Field of the Future

合作研究：ITR/AP

• 批准号: 0121161
• 负责人: Alan Sussman
• 金额: $ 15.75万
• 依托单位: University of Maryland, College Park
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-10-01 至 2005-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0121161&HistoricalAwards=false
• 关键词: Collaborative; Research; ITR; AP& IM

Collaborative Research: ITR/AP&IM Data Intense Challenge: The Instrumented Oil Field of the FutureMary Wheeler - University of Texas at Austin - 0121523Alan Sussman - University of Maryland, College Park - 0121161Joel Saltz - Ohio State University Research Foundation - 0121177Manish Parashar - Rutgers University - 0120934Increasing production from existing oil and natural gas reservoirs is crucial for the US economy. In order to better monitor and optimize oil and gas production, advanced technologies from field instrumentation to information technology and computational science are essential. Field technologies include time-lapse surface and borehole seismic, permanent downhole sensors, intelligent well completions, fiber optics, and remote control operations. IT technologies include data management, data visualization, parallel computing, and decision-making tools such as new wave propagation and multiphase, multi-component flow and transport computational portals. These diverse technologies can be integrated to achieve real-time monitoring and optimization of reservoir production: The Instrumented Oilfield.A major outcome of the proposed research is a computing portal which will enable reservoir simulation and geophysical calculations to interact dynamically with the data and with each other and which will provide a variety of visual and quantitative tools. Test data will be provided by oil and service companies currently participating in UT Austin industrial affiliate programs. Since the proposed research is directed towards the general problem of modeling and characterization of the earth's subsurface, it has immediate application to other areas, including environmental remediation and storage of hazardous wastes.

合作研究：ITR/ ap&im数据挑战：未来的仪器化油田mary Wheeler -德克萨斯大学奥斯汀分校- 0121523Alan Sussman -马里兰大学帕克分校- 0121161Joel Saltz -俄亥俄州立大学研究基金会- 0121177Manish Parashar -罗格斯大学- 0120934提高现有石油和天然气储量的产量对美国经济至关重要。为了更好地监测和优化油气生产，从现场仪器到信息技术和计算科学的先进技术是必不可少的。现场技术包括延时地面和井眼地震、永久性井下传感器、智能完井、光纤和远程控制操作。IT技术包括数据管理、数据可视化、并行计算和决策工具，如新波传播和多相、多组分流和传输计算门户。这些不同的技术可以集成在一起，实现对油藏生产的实时监测和优化。拟议研究的一个主要成果是一个计算门户，它将使储层模拟和地球物理计算能够与数据和彼此动态地相互作用，并将提供各种可视化和定量工具。测试数据将由目前参与德州大学奥斯汀分校工业合作项目的石油和服务公司提供。由于拟议的研究是针对模拟和描述地球地下的一般问题，因此它可以立即应用于其他领域，包括环境补救和危险废物的储存。