Least-squares reverse time migration of multiples in viscoacoustic media

Author:

Li Zhina1ORCID,Li Zhenchun1ORCID,Li Qingqing1,Li Qingyang2,Sun Miaomiao1,Hu Pengcheng3,Li Linlin3

Affiliation:

1. China University of Petroleum (East China), Key Laboratory of Deep Oil & Gas, Qingdao 266580, China, China University of Petroleum (East China), Shandong Provincial Key Laboratory of Reservoir Geology, Qingdao 266580, China, and China University of Petroleum (East China), School of Geosciences, Qingdao 266580, China.(corresponding author); .

2. Sinopec, Geophysical Research Institute of Zhongyuan Oil Field, Zhengzhou 457001, China..

3. CNPC, Bureau of Geophysical Prospecting Inc., Zhuozhou 072751, China..

Abstract

The migration of multiples can provide complementary information about the subsurface, but crosstalk artifacts caused by the interference between different-order multiples reduce its reliability. To mitigate the crosstalk artifacts, least-squares reverse time migration (LSRTM) of multiples is suggested by some researchers. Multiples are more affected by attenuation than primaries because of the longer travel path. To avoid incorrect waveform matching during the inversion, we propose to include viscosity in the LSRTM implementation. A method of LSRTM of multiples is introduced based on a viscoacoustic wave equation, which is derived from the generalized standard linear solid model. The merit of the proposed method is that it not only compensates for the amplitude loss and phase change, which cannot be achieved by traditional RTM and LSRTM of multiples, but it also provides more information about the subsurface with fewer crosstalk artifacts by using multiples compared with the viscoacoustic LSRTM of primaries. Tests on sensitivity to the errors in the velocity model, the Q model, and the separated multiples reveal that accurate models and input multiples are vital to the image quality. Numerical tests on synthetic models and real data demonstrate the advantages of our approach in improving the quality of the image in terms of amplitude balancing and signal-to-noise ratio.

Funder

Development Fund of Key Laboratory of Deep Oil Gas

the Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

Society of Exploration Geophysicists

Subject

Geochemistry and Petrology,Geophysics

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