Multiscale full-waveform inversion based on shot subsampling
| Autor: | Cai-Wang Shi, Bing-Shou He |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
010504 meteorology & atmospheric sciences
Computer science Small number ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Numerical modeling Inversion (meteorology) Condensed Matter::Mesoscopic Systems and Quantum Hall Effect 010502 geochemistry & geophysics 01 natural sciences Geophysics ComputerApplications_MISCELLANEOUS Frequency domain Waveform Algorithm Full waveform 0105 earth and related environmental sciences |
| Zdroj: | Applied Geophysics. 15:261-270 |
| ISSN: | 1993-0658 1672-7975 |
| DOI: | 10.1007/s11770-018-0669-6 |
| Popis: | Conventional full-waveform inversion is computationally intensive because it considers all shots in each iteration. To tackle this, we establish the number of shots needed and propose multiscale inversion in the frequency domain while using only the shots that are positively correlated with frequency. When using low-frequency data, the method considers only a small number of shots and raw data. More shots are used with increasing frequency. The random-in-group subsampling method is used to rotate the shots between iterations and avoid the loss of shot information. By reducing the number of shots in the inversion, we decrease the computational cost. There is no crosstalk between shots, no noise addition, and no observational limits. Numerical modeling suggests that the proposed method reduces the computing time, is more robust to noise, and produces better velocity models when using data with noise. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink