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Abstract

Summary

Almost all forms of full waveform inversion use a source wavelet estimate: this wavelet can be extracted from recorded data during the pre-processing or sometimes a zero-phase band-limited synthetic wavelet can be used instead. Alternatively, the source information can be regarded as another unknown in the inverse problem and be updated within the inversion procedure itself.

The importance of reliable source wavelet information during the waveform inversion implementation has been widely implied or briefly mentioned by multiple authors, but little detailed study of the effects of poor wavelets has been presented in the literature.

It is the purpose of this study to examine if shape errors in the source wavelet manifest themselves in a significantly damaging way in the velocity model obtained using conventional time-domain acoustic waveform inversion, and if so by what magnitude.

In addition, although it is clear that a suboptimal source wavelet will degrade the velocity model, we will also assess what effect such degradation has on migrated image positions, and compare this depth error to the inherent uncertainty expected in seismic images. In other words, we will try to assess how much wavelet error is acceptable before the image is distorted beyond typically accepted positioning errors.

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/content/papers/10.3997/2214-4609.202010031
2020-12-08
2024-04-25

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http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.202010031
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The Influence of Source Wavelet Estimation Error in Acoustic Time Domain Full Waveform Inversion
Conference Proceedings 2020, 1 (2020); https://doi.org/10.3997/2214-4609.202010031
/content/papers/10.3997/2214-4609.202010031
/content/papers/10.3997/2214-4609.202010031
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