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Low-rank difraction separation using an improved MSSA algorithm

Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Diffraction separation is a vital key step for high-resolution imaging of small-scale geologic discontinuities. The multichannel singular-spectrum analysis (MSSA) algorithm has exhibited adequacy for diffraction separation and refection suppression. However, the traditional MSSA algorithm is expensive because of the singular-value decomposition (SVD) operator. In addition, the common rank misidentification renders the diffraction separation highly rank-sensitive. Random noise caused by energy leakage is another problem for diffraction separation that is unresolved by the conventional MSSA. In this study, we propose a prestack diffraction separation method involving an improved MSSA algorithm. The new algorithm enables faster singular value estimation relative to the conventional SVD, with a diagonal Hankelization operator for artificial linear and random noise suppression, thereby enhancing the signal-to-noise ratio. Rank misidentification is alleviated by lowering the sensitivity to rank of the separated diffractions. Synthetic and field data are utilized to demonstrate the feasibility and superiority of the proposed method in computational efficiency and noise suppression compared with the conventional method.
Czasopismo
Rocznik
Strony
1651--1665
Opis fizyczny
Bibliogr. 61 poz.
Twórcy
autor
  • State Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology (Beijing), Beijing 100083, China
autor
  • State Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology (Beijing), Beijing 100083, China
autor
  • State Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology (Beijing), Beijing 100083, China
Bibliografia
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  • 56. Zhang JF, Zhang JJ (2014) Diffraction imaging using shot and opening-angle gathers: A prestack time migration approach. Geophysics 79(2):S23–S33
  • 57. Zhang, R., 2004, Fresnel aperture and diffraction prestack depth migration: CDSST annual report, The University of British Columbia.
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  • 60. Zhao J, Yu C, Peng S, Cao J (2021) Least-squares imaging of diffractions by solving a hybrid L1–L2 norm minimization problem. Geophysics 86(1):S59–S72
  • 61. Zhu XS, Wu RS (2010) Imaging diffraction points using the local image matrices generated in prestack migration. Geophysics 75(1):S1–S9
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-e86b9606-be76-4e21-a7bc-4fbb8afcc604
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