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Joint Q-compensated least-squares reverse time migration using primary and diffracted waves |
XU Lei-Liang1, ZHAO Guo-Yong1, ZHANG Jian2, ZHONG Tian-Miao3, GU Jia-Ying3, YOU Jian3, QU Ying-Ming3( ) |
1. Science and Technology Research and Development Center,Sinopec Petroleum Engineering Geophysical Limited Corporation,Nanjing 211100,China 2. Shengli Branch Company,Sinopec Petroleum Engineering Geophysical Limited Corporation,Dongying 257100,China 3. School of Geosciences,China University of Petroleum (East China),Qingdao 266580,China |
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Abstract Poor illumination poses great challenges to the imaging of small-scale faults and pores.Subsurface attenuation leads to amplitude loss and phase distortion of seismic waves,and ignoring such attenuation during imaging will blur migration amplitudes.The Q-compensated least-squares reverse time migration (QLSRTM) can improve the imaging of these small-scale structures,but it requires a huge amount of iterations and computational cost.To improve the imaging effect of these small-scale structures,this study proposed a geological-target-oriented joint QLSRTM (J-QLSRTM) that fully utilizes diffracted waves.In this method,a new objective function and gradient formula was constructed.Moreover,the Q-compensated wavefield propagation operators,Q-compensated adjoint operators,and Q-attenuated demigration operators were derived for both primary and diffracted waves based on the inversion and adjoint theories.The numerical examples verified that the proposed J-QLSRTM is superior to the conventional QLSRTM and the acoustic J-LSRTM.
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Received: 11 December 2021
Published: 24 February 2023
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Corresponding Authors:
QU Ying-Ming
E-mail: quyingming@upc.edu.cn
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Three layer attenuation model with small-scale caves
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The shot records from the viscoelastic medium(a), acoustic medium(b),and the shot records of diffracted waves separated from the attenuating shot records(c) and separated reflected waves by cutting off the direct wave(d)
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Wave field compensation test with 600 ms
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The attenuating Sigsbee2B velocity model(a)and Q model(b)
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Shot record(a),separated diffractive wave shot records(b) and separated primary wave shot records(c)
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Images of the Sigsbee2B model after Laplacian filtering from QRTM(a) and noncompensated RTM(b)
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The imaging results after 30 iterations using the proposed J-QLSRTM(a) and the conventional QLSRTM(b) and prism wave(c)
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The reflectivity(a) and acoustic LSRTM image using acoustic data(b)
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Wavenumber spectra at the distance of 4 500 m
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Velocity field(a) and Q field(b) with obvious errors
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Fig.10a(a) and by using the Q field in Fig.10b(b) ">
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J-QLSRTM imaging results obtained by using the velocity field in Fig.10a(a) and by using the Q field in Fig.10b(b)
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