Ensemble subsurface modeling using grid computing technology

Xin Li, Zhou Lei, Christopher D. White, Gabrielle Allen, Guan Qin, Frank T.C. Tsai

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

Abstract

Ensemble Kalman Filter (EnKF) uses a randomized ensemble of subsurface models for error and uncertainty estimation. However, the complexity of geological models and the requirement of a large number of simulation runs make routine applications extremely difficult due to expensive computation cost. Grid computing technologies provide a cost-efficient way to combine geographically distributed computing resources to solve large-scale data and computation intensive problems. Hence, we design and implement a grid-enabled EnKF solution to ill-posed model inversion problems for subsurface modeling. It has been integrated into the ResGrid, a problem solving environment aimed at managing distributed computing resources and conducting subsurface-related modeling studies. Two synthetic cases in reservoir studies indicate that the enhanced ResGrid efficiently performs EnKF inversions to obtain accurate, uncertainty-ware predictions on reservoir production. This grid-enabled EnKF solution is also being applied for data assimilation of large-scale groundwater hydrology nonlinear models. The ResGrid with EnKF solution is open-source and available for downloading.

Original languageEnglish (US)
Title of host publicationProceedings - 2nd International Multi-Symposiums on Computer and Computational Sciences, IMSCCS'07
Pages235-244
Number of pages10
DOIs
StatePublished - 2007
Externally publishedYes
Event2nd International Multi-Symposiums on Computer and Computational Sciences 2007, IMSCCS'07 - Iowa City, IA, United States
Duration: Aug 13 2007Aug 15 2007

Publication series

NameProceedings - 2nd International Multi-Symposiums on Computer and Computational Sciences, IMSCCS'07

Other

Other2nd International Multi-Symposiums on Computer and Computational Sciences 2007, IMSCCS'07
Country/TerritoryUnited States
CityIowa City, IA
Period8/13/078/15/07

ASJC Scopus subject areas

  • General Computer Science
  • Computer Science Applications
  • Theoretical Computer Science

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