Least squares kirchhoff migration
NettetFigure 1 Schematic of least-squares slant stack. A small least-squares problem is solved for each frequency. This is less costly than working in the time domain, where one very large system of equations would need to be solved. The time-invariant moveout correction of slant stacks makes this separation possible. Nettet1. jun. 2024 · The data-domain least-squares reverse time migration (LSRTM), a promising imaging method for obtaining a high-resolution reflectivity image, can be im. Skip to Main Content. Advertisement. ... The LSM methodology has been applied to various migration techniques such as Kirchhoff migration (Shuster 1993; Nemeth et al. 1999; …
Least squares kirchhoff migration
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NettetLeast-squares migration can be used for this purpose. Least-squares migration with Kirchhoff operator was one of the early attempts (Tarantola, 1984;Nemeth et al., 1999; … Nettet7. jun. 2016 · Conventional Kirchhoff migration can be regarded as the adjoint of the seismic forward modeling operator (Claerbout 1992).Chavent and Plessix used standard migration as the zeroth iteration, and then used a conjugate gradient scheme to compute the Hessian matrix.They then used a least-squares formulation to obtain an optimized …
Nettet25. aug. 2024 · Least-squares reverse-time migration (LSRTM) can overcome the problems of low resolution and unbalanced amplitude energy of deep formation imaging in reverse-time migration (RTM); hence, it can obtain a more accurate imaging profile. In the conventional conjugate gradient LSRTM, the gradient is obtained based on cross … NettetKirint Figure 10 Least-squares Kirchhoff interpolation: (a) The original image used to generate the subsampled wavefield shown in Figure (b), (b) The subsampled wavefield. (c) The interpolated subsurface image obtained by Kirchhoff migration with a subsampling operator, (d) The interpolated subsurface image obtained by least-squares Kirchhoff …
Nettet14. mar. 2024 · Least-squares migration (LSM) is a data-fitting imaging approach seeking the seismic reflectivity image of the most accurate amplitude and optimal resolution. However, the high computational cost of LSM has hindered its broad application. In this study, we combine a convolutional neural network (CNN) with LSM … NettetSummary Least squares migration (LSM), like interpolation, has the potential to address sampling issues on migrated images; it also generates images with better amplitudes …
Nettet7. mai 2015 · Finally, I present results using a Least Squares implementation of Kirchhoff Pre-Stack Depth Migration. a) Velocity model (b) Migration from dense node …
Nettet摘要： To do least-squares Kirchhoff migration, we either have to work in the time domain, as is done by Ji elsewhere in this report, or use time-invariant transforms, … explanation of safety grades fall 2020Nettetmigration, who replaces the inverse with the adjoint operator of the forward modeling, LSM is a linear seismic inversion method with the goal of gaining an image of balanced amplitude and high resolution. x. After proposed by Tarantola(1984), LSM has developed from least squares Kirchhoff migration (Nemeth, et al., bubble bath in whirlpool tubNettetLeast squares Kirchhoff depth migration: important details Daniel Trad CREWES-University of Calgary Summary Least squares migration has been an important … explanation of rvuNettetWe apply iterative resolution estimation to least-squares Kirchhoff migration. Reviewing the theory of iterative optimization uncovers the common origin of different optimization methods. This allows us to reformulate the pseudo-inverse, model resolution and data resolution operators in terms of effective iterative estimates. bubble bath in hot tubNettet28. apr. 2024 · Abstract: The lunar penetrating radar (LPR) carried on the Chang E-3 Yutu Rover observations at 500 MHz successfully reveals the thickness and geological structure of the shallow lunar regolith. Previous work used the calculated permittivity and the migration image to estimate the layer interface and local target. In this letter, a least … explanation of sadnessNettet1. aug. 1998 · The performance of two popular migration methods—the Kirchhoff integral and reverse‐time migrations—is evaluated through applications to imaging complex structures using prestack shot records. The migration results from the Marmousi model data demonstrate that reverse‐time migration is more accurate than Kirchhoff … bubble bath jacuzzi brown dirthttp://sepwww.stanford.edu/public/docs/sep75/steve1/paper_html/node2.html bubble bath in pregnancy