A Grid-enabled workflow system for reservoir uncertainty analysis

Emrah Ceyhan, Gabrielle Allen, Christopher White, Tevfik Kosar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Reservoir uncertainty analysis is significant for petroleum engineers for predictions of reservoir performance. However, analysis of reservoir performance uncertainty is challenging because large amounts of data must be transferred efficiently, reliably and securely between sites, and thousands of simulations are executed across different resources. There are several steps in conducting reservoir performance prediction, including: (a) transferring input files to remote resources, (b) running thousands of simulations in different scheduler systems, (c) monitoring the jobs, (d) transferring output files from remote sites to the local system, and (e) post-processing to determine whether simulations have resolved uncertainties adequately. This whole process may have to be repeated as new data are obtained, or if uncertainty thresholds change. Therefore, it is essential to automate end-to-end processing for this complex, composite application with many tasks that are executed in a specific order. We implemented an end-to-end automated system for reservoir uncertainty analysis using Grid technologies such as Condor-G, DAGMan, and Stork. This paper describes the requirements, design and implementation of such a system.

Original languageEnglish (US)
Title of host publicationProceedings of the 6th International Workshop on Challenges of Large Applications in Distributed Environments 2008, CLADE'08
Pages45-51
Number of pages7
DOIs
StatePublished - Dec 15 2008
Externally publishedYes
Event6th International Workshop on Challenges of Large Applications in Distributed Environments 2008, CLADE'08 - Boston, MA, United States
Duration: Jun 23 2008Jun 23 2008

Publication series

NameCLADE - Proceedings of the 6th International Workshop on Challenges of Large Applications in Distributed Environments 2008, CLADE'08

Other

Other6th International Workshop on Challenges of Large Applications in Distributed Environments 2008, CLADE'08
CountryUnited States
CityBoston, MA
Period6/23/086/23/08

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Keywords

  • Data management
  • Distributed systsms
  • End-to-end-processing
  • Reservoir modeling
  • Stork
  • Uncertainty analysis
  • Workflows

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Software
  • Information Systems and Management

Cite this

Ceyhan, E., Allen, G., White, C., & Kosar, T. (2008). A Grid-enabled workflow system for reservoir uncertainty analysis. In Proceedings of the 6th International Workshop on Challenges of Large Applications in Distributed Environments 2008, CLADE'08 (pp. 45-51). (CLADE - Proceedings of the 6th International Workshop on Challenges of Large Applications in Distributed Environments 2008, CLADE'08). https://doi.org/10.1145/1383529.1383537