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Demonstration of grid-enabled ensemble Kalman Filter data assimilation methodology for reservoir characterization

Published: 29 January 2008 Publication History

Abstract

Ensemble Kalman filter data assimilation methodology is a popular approach for hydrocarbon reservoir simulations in energy exploration. In this approach, an ensemble of geological models and production data of oil fields is used to forecast the dynamic response of oil wells. The Schlumberger ECLIPSE software is used for these simulations. Since models in the ensemble do not communicate, message-passing implementation is a good choice. Each model checks out an ECLIPSE license and therefore, parallelizability of reservoir simulations depends on the number licenses available. We have Grid-enabled the ensemble Kalman filter data assimilation methodology for the TIGRE Grid computing environment. By pooling the licenses and computing resources across the collaborating institutions using GridWay metascheduler and TIGRE environment, the computational accuracy can be increased while reducing the simulation runtime. In this paper, we provide an account of our efforts in Grid-enabling the ensemble Kalman Filter data assimilation methodology. Potential benefits of this approach, observations and lessons learned will be discussed.

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  • (2011)UltraScan gateway enhancementsProceedings of the 2011 TeraGrid Conference: Extreme Digital Discovery10.1145/2016741.2016778(1-8)Online publication date: 18-Jul-2011

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cover image ACM Other conferences
MG '08: Proceedings of the 15th ACM Mardi Gras conference: From lightweight mash-ups to lambda grids: Understanding the spectrum of distributed computing requirements, applications, tools, infrastructures, interoperability, and the incremental adoption of key capabilities
January 2008
178 pages
ISBN:9781595938350
DOI:10.1145/1341811
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • National e-Science Institute (Edinburgh, UK)
  • Louisiana State University (USA)

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Association for Computing Machinery

New York, NY, United States

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Published: 29 January 2008

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Author Tags

  1. EnKF
  2. GridWay
  3. TIGRE
  4. energy exploration
  5. reservoir modeling

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Mardi Gras'08
Sponsor:
Mardi Gras'08: 15th Mardi Gras Conference on Distributed Applications
January 29 - February 3, 2008
Louisiana, Baton Rouge, USA

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  • (2011)UltraScan gateway enhancementsProceedings of the 2011 TeraGrid Conference: Extreme Digital Discovery10.1145/2016741.2016778(1-8)Online publication date: 18-Jul-2011

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