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	SCHEDULE: NOV 11-17, 2006 Utilizing Grid Computing Technologies for Advanced Reservoir Studies Session: Poster Reception Event Type: Poster Time: 5:15pm - 7:15pm Author(s): Zhou Lei, Gabrielle Allen, Dayong Huang, Hartmut Kaiser, Xin Li, Chris White Location: Ballroom Corridor Abstract: Reservoir studies are crucial to obtain accurate assessments and predictions of reservoir performance. However, this is a challenging issue because 1) it relies on massive modeling-related, geographically distributed, terabyte or even petabyte sized datasets (seismic and well-logging data), 2) needs to rapidly perform hundreds or thousands of simulations, being identical runs with different reservoir models circulating the impacts of various uncertainty factors, 3) the lack of easy-to-use problem solving toolkits to assist the uncertainty analysis. The poster focuses on leveraging Grid computing technologies to address the challenging issue mentioned above. It describes a newly developed data archive tool based on metadata and replica services and high performance file transfer. Our task farming framework enables a large amount of parallel job runs across a Grid, a related Grid portal eases the management of advanced reservoir studies. Our solutions are being employed by other Grid applications. Chair/Author Details: Zhou Lei Louisiana State University Gabrielle Allen Louisiana State University Dayong Huang Louisiana State University Hartmut Kaiser Louisiana State University Xin Li Petroleum Engineering, LSU Chris White Louisiana State University
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