Multiscale geostatistical history matching using block direct sequential simulation

C. Marques, L. Azevedo, V. Demyanov, A. Soares, M. Christie

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

2 Citations (Scopus)

Abstract

This paper proposed a multiscale geostatistical history matching methodology using a new algorithm. The challenge of this work is the development and the application of an algorithm that couples different geological scales by recurring to Block Direct Sequential Simulation. In order to speed-up the history matching procedure we first optimize the reservoir model at a very coarse grid which is then used as an auxiliary model to perform the history matching at a very fine scale. With the development of this workflow is expected a better coarse and fine solution, an improved and more reliable reservoir model with a significant reduction of computing time and with a good integration of dynamic data in the static model. We show this novel approach in a challenging synthetic case study based on a fluvial environment.

Original languageEnglish
Title of host publicationPetroleum Geostatistics 2015
PublisherEAGE Publishing BV
Pages123-127
Number of pages5
Volume1
ISBN (Print)9781510814110
DOIs
Publication statusPublished - 7 Sep 2015
EventPetroleum Geostatistics 2015 - Biarritz, France
Duration: 7 Sep 201511 Sep 2015

Conference

ConferencePetroleum Geostatistics 2015
CountryFrance
CityBiarritz
Period7/09/1511/09/15

ASJC Scopus subject areas

  • Geotechnical Engineering and Engineering Geology
  • Geophysics
  • Statistics, Probability and Uncertainty
  • Geology

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  • Cite this

    Marques, C., Azevedo, L., Demyanov, V., Soares, A., & Christie, M. (2015). Multiscale geostatistical history matching using block direct sequential simulation. In Petroleum Geostatistics 2015 (Vol. 1, pp. 123-127). EAGE Publishing BV. https://doi.org/10.3997/2214-4609.201413609