Article
Environmental Sciences
Yanbao Zhang, Yike Liu, Jia Yi
Summary: This paper proposes a least-squares optimized algorithm for multiples, called LSRTM-WM, which can significantly remove crosstalks and improve spatial resolution by reverse-time migration of water-bottom-related multiples.
Article
Geochemistry & Geophysics
Jinli Li, Yingming Qu, Mengjie Li, Zhenchun Li
Summary: This paper introduces a method to use multiples to image shadow zones of primaries. By deriving viscoacoustic Born modeling operators, adjoint operators, and demigration operators for different-order multiples, a Q-compensated reverse-time migration method is proposed. Example results show that this method can produce better imaging results.
GEOPHYSICAL PROSPECTING
(2023)
Article
Geochemistry & Geophysics
Yingming Qu, Jingru Ren, Chongpeng Huang, Zhenchun Li, Yixin Wang, Chang Liu
Summary: This paper introduces a curvilinear-grid-based least-squares reverse time migration (LSRTM) method that can produce better images of complex subsurface structures in 3D cases. It achieves higher signal-to-noise ratio, improved resolution, and significantly improves computational efficiency.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
Yingming Qu, Zhenchun Li, Zhe Guan, Chang Liu, Junzhi Sun
Summary: The translation discusses the use of prismatic waves in migration methods and the challenges faced, as well as the proposal of a Q-LSRTM-P method and its advantages. Experimental results verify the effectiveness of the proposed method.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
Yingming Qu, Chongpeng Huang, Chang Liu, Zhenchun Li
Summary: This study focuses on the impact and compensation techniques of multiples in deep-marine environments, proposing a method for joint primaries and multiples inversion imaging. By using curvilinear grids to match the seabed structure, the proposed method achieved clear imaging structures and high SNR in numerical examples and real data tests. The total computational cost was shown to be the least among four conventional methods.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2021)
Article
Engineering, Chemical
Yue Zheng, Youshan Liu, Tao Xu, Zhiyuan Li
Summary: In this study, a new practical correlative LSRTM (CLSRTM) scheme based on wave mode decomposition without amplitude and phase distortion is introduced. Migration and de-migration operators are deduced using the decoupled P- and S-wave equations in heterogeneous media, which eliminates the need for extra wavefield decomposition in simulated data. The proposed method compensates the energy of deep structures, generates clear images with balanced amplitudes and enhanced resolution, and is capable of handling fault structures beneath the salt dome.
Article
Energy & Fuels
Zhen-Chun Li, Ying-Ming Qu
Summary: This article reviews the development of seismic imaging, summarizes the principles of three typical imaging methods, analyzes their imaging capabilities for special structures, and provides an outlook on the future perspectives of imaging methods.
Article
Geochemistry & Geophysics
Han Wu, Xintong Dong, Tie Zhong, Shukui Zhang, Shaoping Lu
Summary: The conventional least-squares reverse time migration (LSRTM) is a modeling-driven algorithm that aims to fit input data rather than produce high-quality imaging results. To overcome the limitations of the conventional LSRTM, a migration-driven LSRTM approach is proposed by formulating the migration process using an inverse scattering imaging condition (ISIC) to eliminate backscattering noise. Synthetic data tests and real data application demonstrate that the migration-driven LSRTM approach can solve the inversion problem more robustly and efficiently compared to the modeling-driven LSRTM.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Article
Geosciences, Multidisciplinary
Yanfeng Sun, Xiugang Xu, Le Tang
Summary: In LSRTM, the use of normalized cross-correlation helps to weaken the influence of the source effect and reduce low-frequency noise, resulting in improved imaging quality and convergence speed. Experimental results demonstrate the superiority of this approach over conventional methods in reducing source effects, improving convergence speed, and enhancing underground deep illumination.
FRONTIERS IN EARTH SCIENCE
(2022)
Article
Geochemistry & Geophysics
Yalin Li, Jianping Huang, Ganglin Lei, Wensheng Duan, Cheng Song, Xinwen Zhang
Summary: This study developed a least-squares reverse time migration method using short-time singular spectrum analysis to separate small-scale scatterers in the subsurface. The proposed method effectively improves the resolution of diffraction wave imaging and increases the robustness to noisy data. Tests with synthetic and noisy seismic data validate the effectiveness of the method.
JOURNAL OF GEOPHYSICS AND ENGINEERING
(2023)
Article
Geochemistry & Geophysics
Zhu Feng, Cheng JiuBing
Summary: In this study, a least-squares redatuming method based on data-driven seismic interferometry is proposed to mitigate the influence of free-surface effects on ocean-bottom seismic data. By separating the up- and down-going wavefield recordings, the virtually observed prestack seismic data at the ocean bottom are obtained, which enhances the resolution of desired signal and improves the quality of seismic imaging.
CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION
(2022)
Article
Geochemistry & Geophysics
Alejandro Cabrales-Vargas, Rahul Sarkar, Biondo L. Biondi, Robert G. Clapp
Summary: During linearized waveform inversion, small inaccuracies in the background subsurface model can cause unfocused seismic events and mislead the interpretation of amplitude. We have developed a joint inversion scheme to unify the inversion of the background and reflectivity models, resulting in a better estimate of reflectivity and improved background model.
Article
Geochemistry & Geophysics
Milad Farshad, Herve Chauris
Summary: Least-squares reverse time migration is widely used in seismic imaging, but it requires multiple iterations; using a suitable preconditioner can accelerate convergence; the method of applying the pseudoinverse Born operator and using the Radon transform allows for quantitative results within a single iteration.
Article
Geochemistry & Geophysics
Yuzhu Liu, Weigang Liu, Zheng Wu, Jizhong Yang
Summary: Reverse time migration (RTM) is widely used in oil and gas exploration for imaging complex subsurface structures. However, the amplitude of the output migration profile is biased due to the use of only the adjoint of the forward Born modeling operator in RTM. To partially balance the amplitude performance, RTM image can be preconditioned with the inverse of the diagonal of the Hessian operator. Existing preconditioning methods do not consider receiver-side effects accurately. Therefore, we have developed a frequency-domain scattering-integral reverse time migration (SI-RTM) to study the importance of incorporating receiver-side effects.
Article
Geochemistry & Geophysics
Yuzhu Liu, Weigang Liu, Zheng Wu, Jizhong Yang
Summary: Our study highlights the importance of incorporating receiver-side effects in RTM imaging, as it significantly improves the final migration images. The SI-RTM method explicitly computes the diagonal of the Hessian operator and solves the two-way wave equation to obtain source-side wavefields and receiver-side Green's functions. This approach is relatively affordable compared to least-squares RTM.
Article
Geochemistry & Geophysics
Xuejian Liu, Yike Liu, Huiyi Lu, Hao Hu, Majid Khan
Article
Geochemistry & Geophysics
Xuejian Liu, Yike Liu, Majid Khan
Article
Geochemistry & Geophysics
Xuejian Liu, Yike Liu
GEOPHYSICAL JOURNAL INTERNATIONAL
(2019)
Article
Geochemistry & Geophysics
Yanbao Zhang, Yike Liu, Xuejian Liu, Xiaopeng Zhou
GEOPHYSICAL PROSPECTING
(2020)
Article
Geochemistry & Geophysics
Xuejian Liu, Lianjie Huang, Zongcai Feng, George El-kaseeh, Robert Will, Robert Balch
Summary: A joint inline and crossline PWEMVA method is developed for efficient 3-D velocity model building, where the method only inverts for low-wavenumber velocity perturbations along wave paths and can reduce computational cost by less than 1% compared to full 3-D PWEMVA. The method utilizes iterative construction of a 3-D velocity model update through 1-D spline interpolation of 2-D gradients, demonstrating efficacy in numerical experiments using synthetic seismic data sets.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2021)
Article
Geochemistry & Geophysics
Xuejian Liu, Tieyuan Zhu, Jorden Hayes
Summary: This study explores the application of advanced elastic full waveform inversion (EFWI) to estimate both P-wave velocity (Vp) and S-wave velocity (Vs) models simultaneously, providing key information for revealing structures within Earth's critical zone (CZ) and quantifying subsurface fluid properties. The results reveal potential gas or water gathering zones by jointly analyzing Vp, Vs, and Vp/Vs with rock-physics knowledge.
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
(2022)
Article
Geosciences, Multidisciplinary
Xuejian Liu, Tieyuan Zhu, Jonathan Ajo-Franklin
Summary: Predicting the behavior, geometry, and flow properties of subsurface fractures is challenging due to the low spatiotemporal resolution of seismic models. In this study, a correlative double-difference time-lapse full waveform inversion method is developed to determine high-resolution time-lapse V-p models of in-situ fracture evolution. The results show that high-resolution V-p changes are indicative of mechanical and fluid changes within the fracture zone during hydrofracturing.
GEOPHYSICAL RESEARCH LETTERS
(2023)
