ITR/AP&IM Data Intense Challenge: The Instrumented Oilfield of the Future
ITR/AP&IM Data Intense Challenge: The Instrumented Oilfield of the Future
批准号:
0120934
负责人:
Manish Parashar
金额:
$33.75万
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
项目状态:
已结题
起止时间:
2001-10-01 至 2004-09-30
中文摘要
合作研究:ITR/AP& IM数据激烈的挑战:未来的仪器化油田玛丽惠勒-得克萨斯大学奥斯汀分校-0121523艾伦苏斯曼-马里兰州大学帕克分校-0121161乔尔萨尔茨-俄亥俄州州立大学研究基金会-0121177马尼什帕拉沙尔-罗格斯大学-0120934增加现有石油和天然气储层的产量对美国经济至关重要。 为了更好地监测和优化石油和天然气生产,从现场仪表到信息技术和计算科学的先进技术至关重要。 现场技术包括时移地面和井内地震、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,如新的波传播和多相、多组分流动和运输计算门户。 这些不同的技术可以被集成,以实现实时监测和优化的油藏生产:仪表化油田。拟议的研究的一个主要成果是一个计算门户,它将使油藏模拟和地球物理计算与数据和彼此动态交互,并将提供各种可视化和定量工具。 测试数据将由目前参与UT奥斯汀工业联盟计划的石油和服务公司提供。 由于所提出的研究是针对地球地下的建模和表征的一般问题,它可以立即应用到其他领域,包括环境修复和危险废物的储存。
英文摘要
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.
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