Source-independent Q-compensated viscoacoustic least-squares reverse time migration

What is it about?

L2-norm-based Q-compensated least squares reverse time migration (Q-LSRTM) is an attractive technique for attenuation compensation and achieving high-quality imaging for subsurface structures. However, conventional L2-norm-based Q-LSRTM has a certain dependence on the source wavelet, which is difficult to estimate accurately from the field data. We have developed a source-independent Q-LSRTM employing a convolutional objective function, which can construct the same new source for simulated and observed data to mitigate the source wavelet effect. Results on synthetic and field data demonstrates the better amplitude-preserving performance of the proposed method and the reasonable imaging results of subsurface structure, even when using incorrect source wavelets.

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Photo by Michael Hamments on Unsplash

Photo by Michael Hamments on Unsplash

Why is it important?

This work improves the practicality of the Q-LSRTM method and establishes a solid foundation for subsequent seismic interpretation work.