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In this work, we propose an ensemble 4D-seismic history-matching framework for reservoir characterization. Compared with similar existing frameworks in the reservoir-engineering community, the proposed one consists of some relatively new ingredients, in terms of the type of seismic data in choice, wavelet multiresolution analysis for the chosen seismic-data and related-data noise estimation, and the use of recently developed iterative ensemble history-matching algorithms.

Typical seismic data used for history matching, such as acoustic impedance, are inverted quantities, whereas extra uncertainties may arise during the inversion processes. In the proposed framework, we avoid such intermediate inversion processes. In addition, we also adopt wavelet-based sparse representation to reduce data size. Concretely, we use intercept and gradient attributes derived from amplitude vs. angle (AVA) data …