A workflow approach to designed reservoir study

Gabrielle Allen; Promita Chakraborty; Dayong Huang; Zhou Lei; John Lewis; Xin Li; Christopher D. White; Xiaoxi Xu; Chongjie Zhang

doi:10.1145/1273360.1273374

A workflow approach to designed reservoir study

Gabrielle Allen, Promita Chakraborty, Dayong Huang, Zhou Lei, John Lewis, Xin Li, Christopher D. White, Xiaoxi Xu, Chongjie Zhang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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).

Original language	English (US)
Title of host publication	Proceedings of the 2nd Workshop on Workflows in Support of Large-scale Science, WORKS'07
Pages	75-79
Number of pages	5
DOIs	https://doi.org/10.1145/1273360.1273374
State	Published - 2007
Externally published	Yes
Event	16th International Symposium on High Performance Distributed Computing 2007, HPDC'07 and Co-Located Workshops - Monterey, CA, United States Duration: Jun 25 2007 → Jun 29 2007

Publication series

Name	Proceedings of the 2nd Workshop on Workflows in Support of Large-scale Science, WORKS'07

Other

Other	16th International Symposium on High Performance Distributed Computing 2007, HPDC'07 and Co-Located Workshops
Country/Territory	United States
City	Monterey, CA
Period	6/25/07 → 6/29/07

ASJC Scopus subject areas

Computer Science Applications
Information Systems
Software

Online availability

10.1145/1273360.1273374

Library availability

Discover UIUC Full Text

Cite this

Allen, G., Chakraborty, P., Huang, D., Lei, Z., Lewis, J., Li, X., White, C. D., Xu, X., & Zhang, C. (2007). A workflow approach to designed reservoir study. In Proceedings of the 2nd Workshop on Workflows in Support of Large-scale Science, WORKS'07 (pp. 75-79). (Proceedings of the 2nd Workshop on Workflows in Support of Large-scale Science, WORKS'07). https://doi.org/10.1145/1273360.1273374

A workflow approach to designed reservoir study. / Allen, Gabrielle; Chakraborty, Promita; Huang, Dayong et al.
Proceedings of the 2nd Workshop on Workflows in Support of Large-scale Science, WORKS'07. 2007. p. 75-79 (Proceedings of the 2nd Workshop on Workflows in Support of Large-scale Science, WORKS'07).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Allen, G, Chakraborty, P, Huang, D, Lei, Z, Lewis, J, Li, X, White, CD, Xu, X & Zhang, C 2007, A workflow approach to designed reservoir study. in Proceedings of the 2nd Workshop on Workflows in Support of Large-scale Science, WORKS'07. Proceedings of the 2nd Workshop on Workflows in Support of Large-scale Science, WORKS'07, pp. 75-79, 16th International Symposium on High Performance Distributed Computing 2007, HPDC'07 and Co-Located Workshops, Monterey, CA, United States, 6/25/07. https://doi.org/10.1145/1273360.1273374

@inproceedings{a0d723e8e6c24b739c809f8269cff63d,

title = "A workflow approach to designed reservoir study",

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).",

author = "Gabrielle Allen and Promita Chakraborty and Dayong Huang and Zhou Lei and John Lewis and Xin Li and White, {Christopher D.} and Xiaoxi Xu and Chongjie Zhang",

year = "2007",

doi = "10.1145/1273360.1273374",

language = "English (US)",

isbn = "1595937153",

series = "Proceedings of the 2nd Workshop on Workflows in Support of Large-scale Science, WORKS'07",

pages = "75--79",

booktitle = "Proceedings of the 2nd Workshop on Workflows in Support of Large-scale Science, WORKS'07",

note = "16th International Symposium on High Performance Distributed Computing 2007, HPDC'07 and Co-Located Workshops ; Conference date: 25-06-2007 Through 29-06-2007",

}

TY - GEN

T1 - A workflow approach to designed reservoir study

AU - Allen, Gabrielle

AU - Chakraborty, Promita

AU - Huang, Dayong

AU - Lei, Zhou

AU - Lewis, John

AU - Li, Xin

AU - White, Christopher D.

AU - Xu, Xiaoxi

AU - Zhang, Chongjie

PY - 2007

Y1 - 2007

N2 - 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).

AB - 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).

UR - http://www.scopus.com/inward/record.url?scp=34548061592&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=34548061592&partnerID=8YFLogxK

U2 - 10.1145/1273360.1273374

DO - 10.1145/1273360.1273374

M3 - Conference contribution

AN - SCOPUS:34548061592

SN - 1595937153

SN - 9781595937155

T3 - Proceedings of the 2nd Workshop on Workflows in Support of Large-scale Science, WORKS'07

SP - 75

EP - 79

BT - Proceedings of the 2nd Workshop on Workflows in Support of Large-scale Science, WORKS'07

T2 - 16th International Symposium on High Performance Distributed Computing 2007, HPDC'07 and Co-Located Workshops

Y2 - 25 June 2007 through 29 June 2007

ER -

A workflow approach to designed reservoir study

Abstract

Publication series

Other

ASJC Scopus subject areas

Online availability

Library availability

Related links

Fingerprint

Cite this