Sensitivity-based upscaling for history matching of reservoir models

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Abstract

Simulation of reservoir flow processes at the finest scale is computationally expensive. This has made upscaling of reservoir models indispensable in most practical situations. However, upscaling often reduces the accuracy of numerical simulations such that we need to keep a balance between reducing the simulation time and ensuring the accuracy of simulation results. In this work, we present a sensitivity-based upscaling that is applicable during history-matching. This method involves partial homogenization of the reservoir based on the model reduction patterns obtained from analysis of the sensitivity matrix. We adopt a wavelet transformation and reduction of data and model spaces using the 2Dwp-wk approach. The history matching results are and found to be in very close agreement of fine-scale inverse analysis. Thus, the technique speeds up the history matching process without seriously compromising the accuracy of estimates.

Original languageEnglish
Title of host publicationProceedings of IAMG 2015 - 17th Annual Conference of the International Association for Mathematical Geosciences
EditorsRaimon Tolosana Delgado, K. Gerald van den Boogaart, Regina van den Boogaart, Helmut Schaeben
PublisherInternational Association for Mathematical Geology (IAMG)
Pages357-366
Number of pages10
ISBN (Electronic)9783000503375
StatePublished - 2015

Publication series

NameProceedings of IAMG 2015 - 17th Annual Conference of the International Association for Mathematical Geosciences

ASJC Scopus subject areas

  • Mathematics (miscellaneous)
  • General Earth and Planetary Sciences

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