A Joint Inversion of Sources and Seismic Waveforms for Velocity Distribution: 1-D and 2-D Examples
Han Yu

TL;DR
This paper introduces a joint inversion method that simultaneously estimates sources and velocity models from seismic waveforms, improving accuracy and stability in subsurface imaging, especially when source information is uncertain.
Contribution
The proposed approach jointly inverts for sources and velocity models using an alternating submodule technique, reducing reliance on initial source estimates and mitigating cycle skipping issues.
Findings
Effectively estimates credible background velocity models.
Produces wavelets close to true or equivalent sources.
Reduces sensitivity to initial source and velocity model assumptions.
Abstract
Waveform inversion is theoretically a powerful tool to reconstruct subsurface structures, but a usually encountered problem is that accurate sources are very rare, causing the computation unstable and divergent. This challenging problem, although sometimes ignored and even imperceptible, can easily create discrepancies in calculated shot gathers, which will then lead to wrong residuals that must be migrated back to the gradients, hence jeopardizing the inverted tomograms. In practice, any shot gather may correspond to its own source even if some of them can be transformed alike after data processing. To resolve this problem, we propose a collocated inversion of sources and early arrival waveforms with the two submodules executing alternatively. Not only can this method produce a decent wavelet that approaches the true source or an equivalent source, but more importantly, it can also…
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