Seismic reflection waveform inversion based on Gauss–Newton optimization
نویسندگان
چکیده
Abstract Owing to the lack of long-offset signals and effective low-frequency components, it is extremely difficult for classical full-waveform inversion (FWI) obtain long-wavelength components medium deep elastic parameter models. Considering ray theory, reflection traveltime tomography restricted by resolution, waveform (RWI) method wave equation, its practicability, has received greater attention. However, previous studies into RWI have primarily used first-order optimization methods, in which convergence resolution still need substantial improvement. Based on second-order we deduced wave-sensitive kernel, objective function gradient Hessian operator background perturbation model. Additionally, revealed de-fuzzification effect matrix working mechanism velocity updating direction Experiments SEG/EAGE overthrust model showed that an with Gauss–Newton using approximate significantly improved wide-spectrum modeling capability compared conjugate method. On streamer seismic data East China Sea, surpassed commonly based pre-stack depth migration. In addition, RTM can depict complex fault system Changjiang sag a high improves imaging quality basement.
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ژورنال
عنوان ژورنال: Journal of Geophysics and Engineering
سال: 2022
ISSN: ['1742-2140', '1742-2132']
DOI: https://doi.org/10.1093/jge/gxac053