A workflow approach to designed reservoir study

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A workflow approach to designed reservoir study

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High Performance Distributed Computing archive
Proceedings of the 2nd workshop on Workflows in support of large-scale science table of contents

Monterey, California, USA

SESSION: Short papers table of contents

Pages: 75 - 79

Year of Publication: 2007

ISBN:978-1-59593-715-5

Authors

Gabrielle Allen	Louisiana State University, Baton Rouge, LA
Promita Chakraborty	Louisiana State University, Baton Rouge, LA
Dayong Huang	Louisiana State University, Baton Rouge, LA
Zhou Lei	Louisiana State University, Baton Rouge, LA
John Lewis	Louisiana State University, Baton Rouge, LA
Xin Li	Louisiana State University, Baton Rouge, LA
Christopher D. White	Louisiana State University, Baton Rouge, LA
Xiaoxi Xu	Louisiana State University, Baton Rouge, LA
Chongjie Zhang	Louisiana State University, Baton Rouge, LA

Sponsors

SIGARCH: ACM Special Interest Group on Computer Architecture
ACM: Association for Computing Machinery

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ACM New York, NY, USA

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ABSTRACT

Reservoir simulations are commonly used to predict the performance of oil and gas reservoirs, taking into account a myriad of uncertainties in the geophysical structure of the reservoir as well as operational factors such as well location. Designed reservoir study provides a robust tool to quantify the impact of uncertainties in model input variables, and can be used to simulate, analyze, and optimize reservoir development. However, such studies are computationally challenging, involving massive (terabyte or petabyte) geographically distributed datasets and requiring hundreds or tens of thousands of simulation runs. Providing petroleum engineers with integrated workflow through a secure and easy-to-use user interface will enable new advanced reservoir studies. This paper describes the workflow solution and user interface designed and implemented for reservoir uncertainty analysis in the UCoMS project ( Ubiquitous Computing and Monitoring System for discovery and management of energy resources).

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	G. Allen, K. Davis, et al. "The GridLab Grid Application Toolkit: Towards Generic and Easy Application Programming Interfaces for the Grid." Proceedings of the IEEE, vol.93, No. 3, pp. 534--550, Mar. 2005.
	2	C. White, B. Willis, et al. "Identifying and Estimating Significant Geologic Parameters With Experimental Design." Proceedings of the SPE Journal (SPE 74140), p. 311--324, 2001.
	3	B. Willis and C. White. "Quantitative Outcrop Data for Flow Simulation." Proceedings of the Journal of Sedimentary Research, Vol. 70, No. 4, p. 788--802, July, 2000.
	4	C. White, S. Royer. "Experimental Design as a Framework for Reservoir Studies." Proceedings of the 2003 SPE Reservoir Simulation Symposium, Houston, Texas. Feburary, 2003.
	5	Maytal Dahan , Mary Thomas , Eric Roberts , Akhil Seth , Tomislav Urban , David Walling , John R. Boisseau, Grid Portal Toolkit 3.0 (GridPort), Proceedings of the 13th IEEE International Symposium on High Performance Distributed Computing, p.272-273, June 04-06, 2004 [doi>10.1109/HPDC.2004.19]
	6	Globus Project Home Page. http://www.globus.org.
	7	GridLab: A Grid Application Toolkit and Testbed Project. http://www.gridlab.org.
	8	Java Community Process. "JSR 168: Portlet Specification v1.0." http://www.jcp.org/en/jsr/detail?id= 168.
	9	G. Laszewski, I. Foster, et al. "A Java Commodity Grid Kit." Concurrency and Computation: Practice and Experience, vol. 13, no. 8--9, pp. 643--662, 2001.
	10	Z. Lei, D. Huang, et al. "Leveraging Grid Technologies For Reservoir Uncertainty Analysis". Proceedings of High Performance Computing Symposium (HPC06), Huntsville, Alabama, April 2--6, 2006.
	11	Zhou Lei , Dayong Huang , Archit Kulshrestha , Santiago Pena , Gabrielle Allen , Xin Li , Christopher White , Richard Duff , John R. Smith , Subhash Kalla, ResGrid: A Grid-aware Toolkit for Reservoir Uncertainty Analysis, Proceedings of the Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGRID'06), p.249-252, May 16-19, 2006 [doi>10.1109/CCGRID.2006.86]
	12	J. Novotny, M. Russell, and O. Wehrens. "GridSphere: A Portal Framework for Building Collaborations." Proceedings of 1st International Workshop on Middleware for Grid Computing, Rio de Janeiro, 2003.
	13	Open Grid Computing Environments Collaboratory. http://www.ogce.org/.
	14	UCoMS Project. http://www.ucoms.org.
	15	C. Zhang, I. Kelley, G. Allen. "Grid Portal Solutions: A Comparison of GridPortlets and OGCE", to appear in the special issue GCE05 of Concurrency and Computation: Practice and Experience, 2006.