Compression of seismic forward modeling wavefield using TuckerMPI
With the increasing use of seismic waveform inversion and imaging, the scale of numerical simulations of seismic waves has been increasing. Concomitantly, the resulting extremely large amounts of seismic data being produced are causing storage, reading, and processing difficulties. Data compression, especially lossy compression, can reduce the data storage requirement. In this study, we apply TuckerMPI, a recently developed lossy large-scale data compression tool, in seismic forward modeling, and compare TuckerMPI with ZFP, SZ2, SZ3, DCTZ, and TTHRESH on compression ratio, accuracy, compression and decompression times. Using TuckerMPI to accelerate seismic waveform inversion has also been studied. Instead of using the waveform difference with/without compression as an acceptable criterion, we focus on the influence of compression on the sensitivity kernels calculated using the 4D wavefields. Especially, we quantitatively investigate the allowed relative error level that does not significantly affect the results of the waveform inversion. Numerical experiments show that TuckerMPI can reduce the file size by 1000+ fold while the inversion result is similar to that using the raw fields.
National Natural Science Foundation of China["41904051","42074056"] ; Guangdong Provincial Key Laboratory of Geophysical High-resolution Imaging Technology[2022B1212010002] ; Shenzhen Sci-ence and Technology Program[KQTD20170810111725321] ; Shanghai Municipal Science and Technology Project[2020J001-5]
|WOS Research Area|
Computer Science ; Geology
Computer Science, Interdisciplinary Applications ; Geosciences, Multidisciplinary
|WOS Accession No|
|ESI Research Field|
Cited Times [WOS]:0
|Document Type||Journal Article|
|Department||Department of Earth and Space Sciences|
1.School of Astronautics,Harbin Institute of Technology,Harbin,150001,China
2.Guangdong Provincial Key Laboratory of Geophysical High-resolution Imaging Technology,Southern University of Science and Technology,Shenzhen,518055,China
3.Department of Earth and Space Sciences,Southern University of Science and Technology,Shenzhen,518055,China
|First Author Affilication||Department of Earth and Space Sciences|
|Corresponding Author Affilication||Southern University of Science and Technology; Department of Earth and Space Sciences|
Wang，Wu,Zhang，Wei,Lei，Tao. Compression of seismic forward modeling wavefield using TuckerMPI[J]. COMPUTERS & GEOSCIENCES,2023,172.
Wang，Wu,Zhang，Wei,&Lei，Tao.(2023).Compression of seismic forward modeling wavefield using TuckerMPI.COMPUTERS & GEOSCIENCES,172.
Wang，Wu,et al."Compression of seismic forward modeling wavefield using TuckerMPI".COMPUTERS & GEOSCIENCES 172(2023).
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