Kirchhoff Beam Migration Based on Compressive Sensing
| Autor: | Cheng Gao, Yaojun Wang, Fanchang Meng, Zhihou Zhang, Tang Jing, Liu Mingchen, Guangmin Hu, Hui Sun, Feilong Yang |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Signal processing
010504 meteorology & atmospheric sciences General Computer Science Radon transform local plane wave decomposition General Engineering Plane wave seismic imaging method Numerical models 010502 geochemistry & geophysics 01 natural sciences Quality (physics) Compressed sensing compressive sensing (CS) Aliasing General Materials Science lcsh:Electrical engineering. Electronics. Nuclear engineering Algorithm lcsh:TK1-9971 Beam (structure) 0105 earth and related environmental sciences prestack depth migration |
| Zdroj: | IEEE Access, Vol 6, Pp 26520-26529 (2018) |
| ISSN: | 2169-3536 |
| Popis: | Kirchhoff beam migration (KBM) is a seismic-signal-based imaging method that considers both computational efficiency and computational precision. This method requires the decomposition of the seismic records, at each center-window, to plane waves in different directions. KBM achieves this step via the conventional linear Radon transform (LRT), which has obvious drawbacks. First, many noises and spatial aliasing exist in the transform result; and second, the resolution of the result does not meet a pre-defined threshold. These drawbacks could affect the imaging ability of KBM. To solve these problems, this paper introduced a high-resolution LRT method based on compressive sensing to KBM to improve the quality of the obtained plane waves and imaging results. This paper verifies the seismic-signal imaging method via multiple numerical models. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|