Grid-enabled ensemble subsurface modeling

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 performance 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. We design and implement a grid-enabled EnKF solution to ill-posed model inversion problems for subsurface modeling. It has been integrated into the Res-Grid, a problem solving environment aimed at managing distributed computing resources and conducting subsurface-related modeling studies. Two use cases in reservoir studies indicate that the enhanced ResGrid efficiently performs EnKF inversions to obtain relatively 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.

Original languageEnglish (US)
Title of host publicationProceedings of the 19th IASTED International Conference on Parallel and Distributed Computing and Systems
Pages67-72
Number of pages6
StatePublished - Dec 1 2007
Externally publishedYes
Event19th IASTED International Conference on Parallel and Distributed Computing and Systems - Cambridge, MA, United States
Duration: Nov 19 2007Nov 21 2007

Publication series

NameProceedings of the IASTED International Conference on Parallel and Distributed Computing and Systems
ISSN (Print)1027-2658

Other

Other19th IASTED International Conference on Parallel and Distributed Computing and Systems
CountryUnited States
CityCambridge, MA
Period11/19/0711/21/07

Keywords

  • Ensemble Kalman Filter
  • Grid computing
  • Model inversion

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications

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