@inproceedings{3772fefe8aa14387ad26cee6eace8d19,
title = "Time-lapse Electromagnetic History Matching in a Fractured Carbonate Reservoir",
abstract = "We applied an image-oriented ensemble history matching workflow to a complex fractured carbonate model using production and time-lapse electromagnetic data. The developed workflow facilitates the conditioning of complex reservoir models to high-dimensional geophysical data, by combining a feature-based assimilation approach with a data subspace localization method. A hybrid parameterization approach is used to represent the multiscale fracture distribution in which the spatial distribution of small-scale fractures is modelled by a truncated Gaussian simulation method. Over one million uncertain model parameters including matrix and fracture properties are updated using an iterative ensemble smoother. Instead of directly integrating the high-dimensional noisy EM tomography data, the contour information extracted from the resistivity is assimilated through a distance parameterization approach. Experimental results demonstrate the efficiency of the developed history matching workflow for large-scale reservoir applications.",
author = "Y. Zhang and K. Katterbauer and T. Zhang and I. Hoteit",
note = "Publisher Copyright: Copyright {\textcopyright} 2022 by the European Association of Geoscientists & Engineers (EAGE). All rights reserved.; 83rd EAGE Conference and Exhibition 2022 ; Conference date: 06-06-2022 Through 09-06-2022",
year = "2022",
language = "English (US)",
series = "83rd EAGE Conference and Exhibition 2022",
publisher = "European Association of Geoscientists and Engineers, EAGE",
pages = "642--646",
booktitle = "83rd EAGE Conference and Exhibition 2022",
}