Efficient prestack time migration velocity analysis: A correlation-based global optimization approach

Xu，Jincheng1,2; Zhang，Jianfeng1,2

2023-07-01

10.1111/1365-2478.13377

Geophysical Prospecting   影响因子和分区

0016-8025

1365-2478

An accurate migration velocity model is vital to seismic imaging. Conventional time-domain migration velocity analysis techniques commonly obtain the velocity model by iteratively picking the velocity spectra of common reflection point gathers or scanning selection, which is usually laborious and computationally expensive. To solve these issues, we propose a more effective migration velocity analysis method for prestack time migration. This method is based on cross-correlation stacked time shift functions of local migrated gathers and uses the very fast simulated annealing algorithm to semi-automatically invert the migration velocity parameters. This new correlation-based objective function can catch subtle bending features of the reflector in the local migrated gather. The proposed approach applies an efficient global optimization algorithm that does not depend on the initial parameter value and is easy to extend to the multiparameter complex case. Moreover, the strategy of using local migrated gathers can incorporate prior information in the inversion to avoid the effects of misidentifying reflection events and the interference of multiples. Furthermore, applying a dynamic parameter constraint strategy for the very fast simulated annealing algorithm improves the convergence speed. Both synthetic and real data examples demonstrate that the proposed migration velocity analysis method can efficiently build an accurate time migration velocity model, which can also provide a good initial velocity model for depth migration.

imaging inversion parameter estimation velocity analysis

SCI ; EI

英语

第一 ; 通讯

National Key R&D Program of China[2020YFA0713402] ; National Natural Science Fund of China["42174128","42030802"] ; Guangdong Provincial Key Laboratory of Geophysical High-resolution Imaging Technology[2022B1212010002]

Geochemistry & Geophysics

Geochemistry & Geophysics

WOS:000997876000001

WILEY

20232414212757

Iterative methods ; Parameter estimation ; Seismology ; Simulated annealing ; Time domain analysis

Earthquake Measurements and Analysis:484.1 ; Heat Treatment Processes:537.1 ; Mathematics:921 ; Optimization Techniques:921.5 ; Numerical Methods:921.6

GEOSCIENCES

2-s2.0-85161387002

Scopus

1.Guangdong Provincial Key Laboratory of Geophysical High-Resolution Imaging Technology,Southern University of Science and Technology,Shenzhen,China
2.Department of Earth and Space Sciences,Southern University of Science and Technology,Shenzhen,China

Xu，Jincheng,Zhang，Jianfeng. Efficient prestack time migration velocity analysis: A correlation-based global optimization approach[J]. Geophysical Prospecting,2023,71(6):998-1011.

Xu，Jincheng,&Zhang，Jianfeng.(2023).Efficient prestack time migration velocity analysis: A correlation-based global optimization approach.Geophysical Prospecting,71(6),998-1011.

Xu，Jincheng,et al."Efficient prestack time migration velocity analysis: A correlation-based global optimization approach".Geophysical Prospecting 71.6(2023):998-1011.