Application of Grid-enabled technologies for solving optimization problems in data-driven reservoir studies

Manish Parashar; Hector Klie; Umit Catalyurek; Tahsin Kurc; Wolfgang Bangerth; Vincent Matossian; Joel Saltz; Mary F. Wheeler

doi:10.1016/j.future.2004.09.028

Application of Grid-enabled technologies for solving optimization problems in data-driven reservoir studies

Manish Parashar
, Hector Klie
, Umit Catalyurek
, Tahsin Kurc
, Wolfgang Bangerth
, Vincent Matossian
, Joel Saltz
, Mary F. Wheeler

Biomedical Informatics

Rutgers - The State University of New Jersey, New Brunswick
University of Texas at Austin
Ohio State University

Research output: Contribution to journal › Article › peer-review

24 Scopus citations

Abstract

This paper presents the use of numerical simulations coupled with optimization techniques in oil reservoir modeling and production optimization. We describe three main components of an autonomic oil production management framework. The framework implements a dynamic, data-driven approach and enables Grid-based large scale optimization formulations in reservoir modeling.

Original language	English
Pages (from-to)	19-26
Number of pages	8
Journal	Future Generation Computer Systems
Volume	21
Issue number	1
DOIs	https://doi.org/10.1016/j.future.2004.09.028
State	Published - Jan 1 2005

Keywords

Distributed database
Grid computing
Optimization algorithms

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10.1016/j.future.2004.09.028

Cite this

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title = "Application of Grid-enabled technologies for solving optimization problems in data-driven reservoir studies",

abstract = "This paper presents the use of numerical simulations coupled with optimization techniques in oil reservoir modeling and production optimization. We describe three main components of an autonomic oil production management framework. The framework implements a dynamic, data-driven approach and enables Grid-based large scale optimization formulations in reservoir modeling.",

keywords = "Distributed database, Grid computing, Optimization algorithms",

author = "Manish Parashar and Hector Klie and Umit Catalyurek and Tahsin Kurc and Wolfgang Bangerth and Vincent Matossian and Joel Saltz and Wheeler, \{Mary F.\}",

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AU - Parashar, Manish

AU - Klie, Hector

AU - Catalyurek, Umit

AU - Kurc, Tahsin

AU - Bangerth, Wolfgang

AU - Matossian, Vincent

AU - Saltz, Joel

AU - Wheeler, Mary F.

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AB - This paper presents the use of numerical simulations coupled with optimization techniques in oil reservoir modeling and production optimization. We describe three main components of an autonomic oil production management framework. The framework implements a dynamic, data-driven approach and enables Grid-based large scale optimization formulations in reservoir modeling.

KW - Distributed database

KW - Grid computing

KW - Optimization algorithms

UR - https://www.scopus.com/pages/publications/10444289981

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DO - 10.1016/j.future.2004.09.028

M3 - Article

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SP - 19

EP - 26

JO - Future Generation Computer Systems

JF - Future Generation Computer Systems

IS - 1

ER -

Application of Grid-enabled technologies for solving optimization problems in data-driven reservoir studies

Abstract

Keywords

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