Award Abstract #0121523
Collaborative Research: ITR/AP&IM Data Intense Challenge: The Instrumented Oil Field of the Future

NSF Org:	CNS Division of Computer and Network Systems
Initial Amendment Date:	September 26, 2001
Latest Amendment Date:	June 26, 2003
Award Number:	0121523
Award Instrument:	Continuing grant
Program Manager:	Frederica Darema CNS Division of Computer and Network Systems CSE Directorate for Computer & Information Science & Engineering
Start Date:	October 1, 2001
Expires:	September 30, 2005 (Estimated)
Awarded Amount to Date:	$1461005
Investigator(s):	Mary Wheeler mfw@ices.utexas.edu (Principal Investigator) Clinton Dawson (Co-Principal Investigator) Mrinal Sen (Co-Principal Investigator) Malgorzata Peszynska (Co-Principal Investigator)
Sponsor:	University of Texas at Austin P.O Box 7726 Austin, TX 78713 512/471-6424
NSF Program(s):	ITR MEDIUM (GROUP) GRANTS
Field Application(s):	0000099 Other Applications NEC
Program Reference Code(s):	SMET, HPCC, 9250, 9218, 9152, 1659
Program Element Code(s):	1687

ABSTRACT

Collaborative Research: ITR/AP&IM Data Intense Challenge:

The Instrumented Oil Field of the Future

Mary Wheeler - University of Texas at Austin - 0121523

Alan Sussman - University of Maryland, College Park - 0121161

Joel Saltz - Ohio State University Research Foundation - 0121177

Manish Parashar - Rutgers University - 0120934

Increasing 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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