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4D history matching using ESMDA and flow-based distance-to-front measurement
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 84th EAGE Annual Conference & Exhibition, Jun 2023, Volume 2023, p.1 - 5
Abstract
Summary
4D seismic data provides valuable information on the dynamics of multiphase porous reservoir fluid flow in locations where well data is not available. This information can be used to estimate uncertain reservoir properties in the context of reservoir history matching. There is still an industry preference for single-model history matching approaches, which reduces parameter space search and often uses geologically inconsistent methods for model perturbation. Ensemble-based history matching methods attempt to address this issue by proposing multi-model workflows that maintain a complete uncertainty description and integrate geologically consistent methods of perturbation. However, the quantitative integration of 4D seismic data in history matching workflows is still a challenge due to its size, resolution, and inherent characteristics. To tackle this, we propose a novel approach for the integration of 4D seismic data in an assisted history matching workflow. We use fluid flow streamlines to match 4D water saturation front locations, reducing the amount of data needed for calculating the 4D distance and providing a flow-based aspect to the front distance calculation. We present an application of the proposed method on a realistic 3D scenario base on a real-world case. The method has applicability in the context of hydrocarbon production and CCS.
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