Fluid Mobility Attribute Extraction Based on Optimized Second-Order Synchroextracting Wavelet Transform

Resolution of time–frequency-based seismic attributes mainly relies on the time–frequency analysis tool. This study proposes an improved second-order synchroextracting wavelet transform (SSEWT) by optimizing the scale parameters and extraction scheme. Time–frequency computation on synthetic data shows a 5% improvement in efficiency. Then, we apply the proposed transform to fluid mobility calculation on field data, yielding a 5.6% increase in computational efficiency and an 11.26% improvement in resolution, demonstrating its superior performance. Field data tests demonstrate that the proposed transform and the related fluid mobility result outperform conventional methods. Despite remaining computational challenges, the method offers significant advancements in reservoir characterization and fluid detection.