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.
Original language | English (US) |
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Title of host publication | 83rd EAGE Conference and Exhibition 2022 |
Publisher | European Association of Geoscientists and Engineers, EAGE |
Pages | 642-646 |
Number of pages | 5 |
ISBN (Electronic) | 9781713859314 |
State | Published - 2022 |
Event | 83rd EAGE Conference and Exhibition 2022 - Madrid, Virtual, Spain Duration: Jun 6 2022 → Jun 9 2022 |
Publication series
Name | 83rd EAGE Conference and Exhibition 2022 |
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Volume | 1 |
Conference
Conference | 83rd EAGE Conference and Exhibition 2022 |
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Country/Territory | Spain |
City | Madrid, Virtual |
Period | 06/6/22 → 06/9/22 |
Bibliographical note
Publisher Copyright:Copyright © 2022 by the European Association of Geoscientists & Engineers (EAGE). All rights reserved.
ASJC Scopus subject areas
- Geochemistry and Petrology
- Geophysics