Research progress on seismic imaging technology

Li, Zhenchun; Qu, Yingming

doi:10.1016/j.petsci.2022.01.015

Cited by 38 publications

(10 citation statements)

References 218 publications

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“…In terms of computational-time for the 2D field data, the proposed pre-stack LSRTM in pseudodepth domain algorithm takes around 13.00 hours, 12.00 GB memory and it is reducing the cost significantly comparing with conventional LSRTM results which is on the other hand takes about 25.0 hours and 21.50 GB memory. Several papers in the recent years have reported an instability in the cartesian-based P-wave modelling that is based on the acoustic approximation of the wave equation for an in-homogeneously transversely isotropic media with tilted symmetry axis (TTI media), then it had been studied and solved partially by Bakker & Duveneck (2011) for the wavefield modelling in Cartesian coordinates and more insightful progress about seismic imaging methods from common reflection surface (CRS) stack, Gaussian beam migration-based and wavefield extrapolation and inversion methods can be seen in Li and Qu (2022), and for details on workflow of LSRTM in Pseudodepth domain once can check Hussein A. H. Muhammed, (M.Sc. thesis, June 2022).…”

Section: Implementations On Field Datamentioning

confidence: 99%

Optimizing the Pre-Stack Least-Squares Reverse-Time Migration Methods: Applications of the Pseudodepth Domain Wavefield Extrapolator

Hussein¹

2023

Preprint

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The framework of LSRTM consists of two steps; the first one is generating the Reverse-Time Migration reflectivity image, applying the Least-Squares Migration scheme on that image and update it iteratively, however, the convergence of both operations consumes a lot of time and memory amount and moreover generates oversampling when simulating the RTM data in deeper zones. Anisotropic media yields as the velocity increase with depth which distorts the Reverse-Time Migration results significantly. This problem, in addition, can be overcome also by applying the Least-squares reverse-time migration in pseudodepth domain by projecting the migration velocity and depicting a weighted and proper wavefield extrapolator. For every point in the Cartesian space (x,y,z) there is a corresponding vertical-time-point with the coordinates (, ,) 1 2 3    hence we can interpolate the reconstructed source wavefield by drawing a Cartesian-to-Pseudodepth mapping function. Extrapolation of Least-Squares Reverse-Time Migration reconstructed wavefield transformed into Pseudodepth domain treats the aliasing of seismic signals by making even sampling and allows original amplitude to be recovered in the final migrated image. At a reduced cost, the Finite-Difference Pseudodepth wavefield extrapolator acts on the Born modelled seismic data, producing accurately similar results to the classical one, yet some amplitude differences are appeared due to various implementation issues and oversampling effect in the latter. The advanced optimizations offered by the pseudodepth domain LSRTM are 1) decreasing number of vertical samples and 2) minimizing the allocated memory. J. Claerbout principle of underground reflectors' position has been achieved in synthetic examples and its application is extended to the 2D field data by optimizing the number of vertical samples and the occupied memory to extract the pre-stack LSRTM migrated images.

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Section: Implementations On Field Datamentioning

confidence: 99%

Optimizing the Pre-Stack Least-Squares Reverse-Time Migration Methods: Applications of the Pseudodepth Domain Wavefield Extrapolator

Hussein¹

2023

Preprint

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“…With the application of high‐performance computers in the field of seismic exploration, reverse time migration (RTM) has become an important method for imaging complex subsurface structures. RTM based on two‐way wave equations achieves wavefield extrapolation in complex subsurface structures to produce high‐quality images (Baysal et al., 1983; McMechan, 1983) and has clear advantages over migration methods based on ray or one‐way wave‐equation theories in imaging steeply dipping structures (Li & Qu, 2022; Sava & Hill, 2009; Zhu & Rline, 1998). When solving the two‐way wave equations, the finite‐difference method is considered to be the optimal method (Liu & Sen, 2009; Tan & Huang, 2014), which has high simulation accuracy.…”

Section: Introductionmentioning

confidence: 99%

Steeply dipping structural target oriented viscoacoustic prismatic reverse time migration in frequency domain and its application

et al. 2023

Geophysical Prospecting

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Steeply dipping structural imaging is a great challenge due to its poor illumination. Conventional migration methods are unable to produce an accurate image of complex steeply dipping structures. The prismatic wave can improve the illumination of steeply dipping structures and is often used to improve the imaging results of such structures. Traditional elastic wave theory assumes that seismic waves do not attenuate when propagating through subsurface media. However, during seismic wave propagation, the wave energy decays exponentially due to the absorption and attenuation of the ground layer. Subsurface attenuation leads to amplitude loss and phase distortion of seismic waves, resulting in blurring of migration amplitudes when this attenuation is not taken into account during imaging. To address this issue, a frequency‐domain Q‐compensated prismatic reverse time migration method is proposed, which derives Q‐compensated prismatic wavefield propagation operators. In the proposed frequency‐domain Q‐compensated prismatic reverse time migration, Q attenuation is fully compensated along three propagation paths and two propagation types of prismatic waves. The optimized four‐order mixed 25‐point difference format and LU decomposition method are used to solve the Q‐compensated prismatic wavefield propagation equations with high computational efficiency. Numerical and field data examples demonstrate that the proposed frequency‐domain Q‐compensated prismatic reverse time migration method can compensate for deep attenuation energy and improve the imaging resolution of steeply dipping structures.

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“…The theory of LSM has been applied to the one‐way wave migration (Clapp et al., 2005; Zhu et al., 2018) and the ray‐based migration (Nemeth et al., 1999; Yuan et al., 2017; Yang et al., 2018). RTM has obvious advantages over ray‐based imaging methods and one‐way wave imaging methods in imaging the steep dipping geological structures, which has been widely used in the petroleum industry (Ristow & Rühl, 1994; Zhang et al., 2005; Yang et al., 2015; Yong et al., 2016; Zhu et al., 2018; Li et al., 2022; Wu et al., 2022). In the context of RTM, the least‐squares reverse time migration (LSRTM) has been developed to improve imaging quality based on two‐way wave equation (Schuster, 1993; Yao & Wu, 2015; Li et al., 2017; Liu et al., 2017; Li et al., 2021).…”

Section: Introductionmentioning

confidence: 99%

“…The LSRTM advantages include the enhancement of imaging resolution and the dramatic minimization of imaging artefacts in comparison to RTM. Therefore, LSRTM has been widely used for high-precision imaging in different media, such as elastic media (Feng & Schuster, 2017;Gu et al, 2018;Zhong et al, 2021), viscoelastic media (Guo et al, 2018;Zhang & Gao, 2022), viscoacoustic media (Dutta & Schuster, 2014;Sun, Fomel, Zhu, et al, 2016;, viscoacoustic anisotropy media (Gu et al, 2022;Qu et al, 2022) and elastic anisotropy media Chen et al, 2022). In addition to LSRTM application in acoustic anisotropic medium, Guo et al (2019) developed LSRTM method based on coupled pseudo-acoustic VTI wave equation, whereas the coupled pseudo-acoustic anisotropic wave equations are restricted by anisotropic parameters resulting in migration artefacts in the inverted images.…”

mentioning

confidence: 99%

Least‐squares reverse time migration based on an efficient pure qP‐wave equation

Huang

Mao

et al. 2023

Geophysical Prospecting

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Seismic waves propagating in anisotropic earth media suffer from waveform distortion, which leads to degraded resolution in seismic data imaging if this adverse effect is not corrected. Additionally, the wavefields simulated by the traditional coupled pseudo‐acoustic wave equations contain undesired shear wave artefacts and are unstable when Thomsen's anisotropy parameter ε is less than δ. To address these issues, many pure qP‐wave equations are proposed to describe wave propagation in anisotropic media. However, these equations are either low precision or high accuracy but computationally expensive. Considering the trade‐off between the computation efficiency and simulation accuracy, we derive a pure qP‐wave equation from the exact dispersion formula in tilted transverse isotropic media. The newly derived equation has only two higher order partial derivatives, which can better balance the accuracy and efficiency than the previous pure qP‐wave equations. The least‐squares reverse time migration method can balance amplitudes, suppress migration artefacts and improve imaging resolution. Then, based on the newly derived pure qP‐wave equation, we derive the Born modelling operator and adjoint migration operator and develop an anisotropic least‐squares reverse time migration method. To achieve the accelerated convergence, we introduce a generalized minimum residual algorithm to implement the anisotropic least‐squares reverse time migration method. Numerical simulation results show that the proposed pure qP‐wave equation outperforms the previous equations in balancing the trade‐off between accuracy and efficiency. In addition, synthetic examples demonstrate the effectiveness and robustness of our proposed anisotropic least‐squares reverse time migration method in correcting the deviations due to anisotropic effects.

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Research progress on seismic imaging technology

Cited by 38 publications

References 218 publications

Optimizing the Pre-Stack Least-Squares Reverse-Time Migration Methods: Applications of the Pseudodepth Domain Wavefield Extrapolator

Optimizing the Pre-Stack Least-Squares Reverse-Time Migration Methods: Applications of the Pseudodepth Domain Wavefield Extrapolator

Steeply dipping structural target oriented viscoacoustic prismatic reverse time migration in frequency domain and its application

Least‐squares reverse time migration based on an efficient pure qP‐wave equation

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