Kirchhoff Beam Migration Based on Compressive Sensing

Autor: Hui Sun, Zhihou Zhang, Guangmin Hu, Fanchang Meng, Cheng Gao, Mingchen Liu, Jing Tang, Yaojun Wang, Feilong Yang
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: IEEE Access, Vol 6, Pp 26520-26529 (2018)
Druh dokumentu: article
ISSN: 2169-3536
DOI: 10.1109/ACCESS.2018.2828160
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: Directory of Open Access Journals