A comparison between Laplace domain and frequency domain methods for inverting seismic waveforms
Wansoo Ha 1 3 YoungHo Cha 2 Changsoo Shin 11 Department of Energy System Engineering, Seoul National University, San 56-1, Shillim-dong, Gwanak-gu, Seoul 151-742, South Korea.
2 Present address: ExxonMobil Upstream Research Company, 3120 Buffalo Speedway, Houston, TX 77098, USA.
3 Corresponding author. Email: plusha@gpl.snu.ac.kr
Exploration Geophysics 41(3) 189-197 https://doi.org/10.1071/EG09031
Submitted: 15 July 2009 Accepted: 16 July 2010 Published: 15 September 2010
Abstract
We compared the ability of full waveform inversion to recover background velocity models from data containing no low-frequency information using the frequency and Laplace domains. Low-frequency information is crucial for recovering background velocity when using frequency-domain waveform inversions. However, the dearth of low-frequency information in field data makes frequency-domain inversion impractical without accurate starting velocity models. Instead, by performing waveform inversion in the Laplace domain, one can recover a smooth velocity model that can be used for either migration or for subsequent frequency-domain inversion as an accurate initial velocity model. The Laplace-transformed wavefield can be thought of as the zero-frequency component of a damped wavefield over a range of damping constants. In this paper, we compare results obtained from both frequency- and Laplace-domain inversions and confirm that the Laplace-domain inversion can be used to recover background velocity from real data without low-frequency information. We also demonstrate that the Laplace-domain inversion can provide the frequency-domain inversion with smooth initial velocity models for better inversion results.
Key words: acoustic, frequency domain, Laplace domain, smooth velocity model, waveform inversion.
Acknowledgments
This work was supported by the Brain Korea 21 project of the Ministry of Education. We are grateful to GX Technology for providing us with the field datasets.
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