History Matching Geostatistical Model Realizations Using a Geometrical Domain Based Parameterization Technique |
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| Authors: | Didier Yu Ding Frédéric Roggero |
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| Institution: | (1) Center for Computational Geostatistics (CCG), University of Alberta, Edmonton, Canada;(2) Chevron Energy Technology Company, Houston, TX, USA;(3) Department of Civil and Environmental Engineering, 3-133 Markin/CNRL Natural Resources Engineering Facility (NREF), University of Alberta, Edmonton, AB, T6G 2G7, Canada |
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| Abstract: | Reservoir characterization needs the integration of various data through history matching, especially dynamic information
such as production or 4D seismic data. Although reservoir heterogeneities are commonly generated using geostatistical models,
random realizations cannot generally match observed dynamic data. To constrain model realizations to reproduce measured dynamic
data, an optimization procedure may be applied in an attempt to minimize an objective function, which quantifies the mismatch
between real and simulated data. Such assisted history matching methods require a parameterization of the geostatistical model
to allow the updating of an initial model realization. However, there are only a few parameterization methods available to
update geostatistical models in a way consistent with the underlying geostatistical properties. This paper presents a local
domain parameterization technique that updates geostatistical realizations using assisted history matching. This technique
allows us to locally change model realizations through the variation of geometrical domains whose geometry and size can be
easily controlled and parameterized. This approach provides a new way to parameterize geostatistical realizations in order
to improve history matching efficiency. |
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