Target-Oriented High-Resolution Elastic Full Waveform Inversion using Redatumed Multi-Component Data

Characterizing deep-buried reservoirs is a crucial task for oil and gas exploration. Elastic full waveform inversion (FWI) can quantitatively estimate the subsurface elastic properties with high resolution. However, elastic FWI applied to high-frequency data is computationally expensive, because of the required fine sampling of the wavefield. Besides, the complex overburden model and the limited illumination for the target of interest impose more challenges on its high-resolution delineation. To overcome these limitations, we propose a target-oriented high-resolution elastic FWI scheme by using redatumed multi-component data. The elastic redatuming technique generates the virtual elastic data for the target-oriented inversion by redauming surface elastic data to the datum level. An overburden model estimated from elastic FWI with low frequencies allows the elastic redatuming to reconstruct the virtual elastic data representing the target zone. We then perform target-oriented elastic FWI by employing the redatumed full-band data to recover the elastic properties in the target zone with reduced computational cost. At last, tests on the Marmousi2 model demonstrate the robustness of the proposed inversion scheme. We will share real data application in the presentation.