Collaborative Research: ITR/AP&IM "A Data Intense Challenge: The Instrumented Oilfield of the Future"
Collaborative Research: ITR/AP&IM "A Data Intense Challenge: The Instrumented Oilfield of the Future"
批准号:
0121177
负责人:
Joel Saltz
金额:
$22.5万
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
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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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CSR---AES: Collaborative Research: Intelligent Optimization of Parallel and Distributed Applications (WP2)
-
批准号:0917775
-
项目类别:Continuing Grant
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资助金额:$12.45万
-
财政年份:2008
-
负责人:Joel Saltz
-
依托单位:
Tightly-coupled Heterogeneous Supercomputing
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批准号:0703139
-
项目类别:Standard Grant
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资助金额:$3.02万
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财政年份:2007
-
负责人:Joel Saltz
-
依托单位:
CSR---AES: Collaborative Research: Intelligent Optimization of Parallel and Distributed Applications (WP2)
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批准号:0615155
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项目类别:Continuing Grant
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资助金额:$25.3万
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财政年份:2006
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负责人:Joel Saltz
-
依托单位:
CSR---AES: Collaborative Research: Intelligent Design and Optimization of Parallel and Distributed Applications
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批准号:0509326
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项目类别:Standard Grant
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资助金额:$5.0万
-
财政年份:2005
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负责人:Joel Saltz
-
依托单位:
ITR: Collaborative Research (ASE+EVS)-(dmc+sim): Data Driven Simulation of the Subsurface: Optimization and Uncertainty Estimation
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批准号:0426241
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项目类别:Standard Grant
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资助金额:$22.0万
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财政年份:2004
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负责人:Joel Saltz
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依托单位:
GridDB-Lite: Database Support for Data-Driven Scientific Applications in the Grid
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批准号:0330612
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项目类别:Standard Grant
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资助金额:$40.3万
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财政年份:2003
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负责人:Joel Saltz
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依托单位:
International Workshop on Dynamic Data Driven Application Systems as a Mechanism to Foster International Collaboration, Melbourne, Australia
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批准号:0332988
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项目类别:Standard Grant
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资助金额:$2.0万
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财政年份:2003
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负责人:Joel Saltz
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依托单位:
Automated Methods for Runtime Performance Optimization for Sparse and Irregular Numeric Applications
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批准号:8819374
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项目类别:Continuing Grant
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资助金额:$14.2万
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财政年份:1989
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负责人:Joel Saltz
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依托单位:
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