Q-compensated viscoelastic reverse time migration using mode-dependent adaptive stabilization scheme

Author:

Wang Yufeng1ORCID,Zhou Hui1ORCID,Zhao Xuebin1ORCID,Zhang Qingchen2ORCID,Chen Yangkang3ORCID

Affiliation:

1. State Key Lab of Petroleum Resources and Prospecting, Key Lab of Geophysical Exploration of CNPC, China University of Petroleum-Beijing, Changping, Beijing 102249, China.(corresponding author); .

2. Chinese Academy of Geosciences, Center for Computational and Exploration Geophysics, State Key Laboratory of Geodesy and Earth’s Dynamics, Institute of Geodesy and Geophysics, Xudong Road, Wuhan 430077, China..

3. Zhejiang University, School of Earth Sciences, Hangzhou 310027, China..

Abstract

The [Formula: see text]-compensated viscoelastic reverse time migration ([Formula: see text]-ERTM) method counteracts the subsurface quality-factor ([Formula: see text]) filtering effect for attenuated multicomponent seismic data to produce high-quality migrated images. Compared with [Formula: see text]-compensated viscoacoustic reverse time migration ([Formula: see text]-ARTM), [Formula: see text]-ERTM provides more informative geologic and structural characterization of the subsurface, but it poses greater challenges on viscoelastic wavefield decomposition and stabilization. On the basis of our previously proposed stabilization operator for [Formula: see text]-ARTM, we have developed a mode-dependent adaptive stabilization scheme for [Formula: see text]-ERTM, which has the ability to handle the numerical instability issue arising from viscoelastic compensation. The stabilization scheme exhibits superior properties of time variance and [Formula: see text] dependence over the commonly used low-pass filtering method. In the context of the viscoelastic wave equation with decoupled fractional Laplacians, we have thoroughly investigated the staggered-grid pseudospectral approach for viscoelastic simulation, vector-based wavefield decomposition for imaging, and mode-dependent adaptive stabilization for compensation. These indispensable modules eventually form the whole framework for stable and accurate [Formula: see text]-ERTM. The [Formula: see text]-ERTM results including PP- and PS-images from synthetic and field data sets are provided to verify the feasibility and superiority of our approach in terms of fidelity and stability.

Funder

National Natural Science Foundation of China

National Science Technology Program

Major Project of the China National Petroleum Corporation

Scientific Research Development of CNPC

Publisher

Society of Exploration Geophysicists

Subject

Geochemistry and Petrology,Geophysics

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