Improving Waveform Inversion using Modified Interferometric Imaging Condition

Guo, X.; Liu, H.; Shi, Y.; Wang, W.; Zhang, Z.

doi:10.1007/s11600-017-0107-9

Artykuł - szczegóły

Tytuł artykułu

Improving Waveform Inversion using Modified Interferometric Imaging Condition

Autorzy

Guo X. , Liu H. , Shi Y. , Wang W. , Zhang Z.

Wybrane pełne teksty z tego czasopisma

https://www.springer.com/journal/11600

Identyfikatory

DOI

10.1007/s11600-017-0107-9

Warianty tytułu

Języki publikacji

Abstrakty

Similar to the reverse-time migration, full waveform inversion in the time domain is a memory-intensive processing method. The computational storage size for waveform inversion mainly depends on the model size and time recording length. In general, 3D and 4D data volumes need to be saved for 2D and 3D waveform inversion gradient calculations, respectively. Even the boundary region wavefield-saving strategy creates a huge storage demand. Using the last two slices of the wavefield to reconstruct wavefields at other moments through the random boundary, avoids the need to store a large number of wavefields; however, traditional random boundary method is less effective at low frequencies. In this study, we follow a new random boundary designed to regenerate random velocity anomalies in the boundary region for each shot of each iteration. The results obtained using the random boundary condition in less illuminated areas are more seriously affected by random scattering than other areas due to the lack of coverage. In this paper, we have replaced direct correlation for computing the waveform inversion gradient by modified interferometric imaging, which enhances the continuity of the imaging path and reduces noise interference. The new imaging condition is a weighted average of extended imaging gathers can be directly used in the gradient computation. In this process, we have not changed the objective function, and the role of the imaging condition is similar to regularization. The window size for the modified interferometric imaging condition-based waveform inversion plays an important role in this process. The numerical examples show that the proposed method significantly enhances waveform inversion performance.

Słowa kluczowe

storage boundary region wavefield-saving strategy modified interferometric random boundary condition imaging condition

przechowywanie

Wydawca

Instytut Geofizyki PAN
Springer

Czasopismo

Acta Geophysica

Rocznik

2018

Tom

Vol. 66, no. 1

Strony

71--80

Opis fizyczny

Bibliogr. 47 poz.

Twórcy

autor

Guo X.

guoxuebao@mail.iggcas.ac.cn

Key Laboratory of Petroleum Resources Research, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, China
University of Chinese Academy of Sciences, Beijing, China

autor

Liu H.

Key Laboratory of Petroleum Resources Research, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, China
University of Chinese Academy of Sciences, Beijing, China

autor

Shi Y.

School of Earth Science, Science and Technology Innovation Team on Fault Deformation, Sealing and Fluid Migration, Northeast Petroleum University, Daqing, China

autor

Wang W.

School of Earth Science, Science and Technology Innovation Team on Fault Deformation, Sealing and Fluid Migration, Northeast Petroleum University, Daqing, China

autor

Zhang Z.

Research Institute of Exploration and Development, Tarim Oilfield Company, PetroChina, Korla, China

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018)

Typ dokumentu

Bibliografia

Identyfikator YADDA

bwmeta1.element.baztech-791a6c13-d6a1-4d50-b490-89e0aad6b77a