27 January 2014

Bin Wang (TGS) briefly introduces a new imaging algorithm called Least Squares RTM (LSRTM). LSRTM is an inversion-based imaging algorithm, which aims to derive a better reflectivity image. Similar to Full Waveform Inversion, LSRTM is trying to minimize the data residual between a field-recorded seismogram and a synthetic modeled seismogram. Like Reverse Time Migration (RTM), LSRTM is based on the two-way wave equation. Compared to a regular RTM, LSRTM has the following benefits: 1) it gives a high-resolution and broadband seismic image, especially the low frequency end; 2) it reduces migration artifacts due to acquisition foot print and non-uniform illumination; 3) the migration image has more balanced amplitudes, as LSRTM is towards true amplitude imaging.

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