Reservoir description using dynamic parameterisation selection with a combined stochastic and gradient search

Lars Kristian Nielsen, Sam Subbey, Mike Christie, Trond Mannseth

    Research output: Contribution to journalArticle

    6 Citations (Scopus)

    Abstract

    There is a correspondence between flow in a reservoir and large scale permeability trends. This correspondence can be derived by constraining reservoir models using observed production data. One of the challenges in deriving the permeability distribution of a field using production data involves determination of the scale of resolution of the permeability. The Adaptive Multiscale Estimation (AME) seeks to overcome the problems related to choosing the resolution of the permeability field by a dynamic parameterisation selection. The standard AME uses a gradient algorithm in solving several optimisation problems with increasing permeability resolution. This paper presents a hybrid algorithm which combines a gradient search and a stochastic algorithm to improve the robustness of the dynamic parameterisation selection. At low dimension, we use the stochastic algorithm to generate several optimised models. We use information from all these produced models to find new optimal refinements, and start out new optimisations with several unequally suggested parameterisations. At higher dimensions we change to a gradient-type optimiser, where the initial solution is chosen from the ensemble of models suggested by the stochastic algorithm. The selection is based on a predefined criterion. We demonstrate the robustness of the hybrid algorithm on sample synthetic cases, which most of them were considered insolvable using the standard AME algorithm. © Springer Science + Business Media B.V. 2006.

    Original languageEnglish
    Pages (from-to)321-342
    Number of pages22
    JournalComputational Geosciences
    Volume10
    Issue number3
    DOIs
    Publication statusPublished - Sep 2006

    Keywords

    • Adaptive Multiscale Estimation
    • Gradient optimiser
    • Inverse problem
    • Neighbourhood Approximation algorithm
    • Permeability estimation
    • Reservoir simulation
    • Stochastic search algorithm
    • Two-phase flow

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