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A Depth Variant Seismic Wavelets Extraction Method for Inversion of Post-Stack Depth Domain Seismic Data
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 80th EAGE Conference and Exhibition 2018, Jun 2018, Volume 2018, p.1 - 5
Abstract
Depth domain seismic data could suffer from stretch effects compared with time domain seismic data, which could cause strong spectral variation and non-stationarity. This could result in the invalidation of stationary assumption for conventional convolution model, which also causes difficulty for directly inverting the depth domain datasets for reservoir characterization. In this paper, we propose a depth variant wavelets extraction method by using the S-transformation with incorporation of a non-stationary convolution model to accommodate the spectral variation on the depth domain seismic data. The technique has been successfully applied on a field dataset for inversion for subsurface reflectivity and acoustic impedance. The inversion results show good fit with the well-log data, which have demonstrated its effectiveness on post-stack seismic data.