Seismic modeling from scratch using Devito: A demonstration with a typical Brazilian pre-salt model

Mojica, Oscar F.; Maciel, Jonathas S.

doi:10.1190/segam2020-3428072.1

Cited by 2 publications

(1 citation statement)

References 9 publications

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“…This deficiency can be partially overcome by the use of Devito (Louboutin et al, 2019;Luporini et al, 2020), a domain-specific language and compiler for the automatic generation of finite-difference stencils. Devito has proved its worth as a framework capable of generating optimized code (Louboutin et al, 2020;Mojica & Maciel, 2020), and it is certainly a powerful ally in the acceleration of seismic inversion workflows.…”

Section: Introductionmentioning

confidence: 99%

Fast least‐squares reverse time migration based on stable pseudo‐acoustic wave equations for tilted transverse isotropic media

Mojica

Pestana

Souza

2023

Geophysical Prospecting

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Conventional tools for seismic imaging normally ignore the anisotropy of the media to produce images of the subsurface, and such omission reduces the quality of the images. Therefore, it is necessary to develop methods which account for subsurface anisotropic properties in order to produce more accurate images. In this paper, we present a least‐squares reverse time migration based on the coupled pseudo‐acoustic equations for tilted transverse isotropic media. Thus, from the stable pseudo‐acoustic wave equation for such media, we derive the linearized modelling (Born modelling) and adjoint migration operators to implement a least‐squares reverse time migration. Then, to save time and effort on development, while ensuring optimal performance of the inversion, we based our implementation on the domain‐specific language Devito, which, in turn, allowed us to easily verify the correctness of the developed operators. Synthetic examples demonstrate the validity of our approach in dealing with tilted transverse isotropic media.

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Section: Introductionmentioning

confidence: 99%

Fast least‐squares reverse time migration based on stable pseudo‐acoustic wave equations for tilted transverse isotropic media

Mojica

Pestana

Souza

2023

Geophysical Prospecting

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Seismic trace interpolation based on the principle of reciprocity using a conditional generative adversarial network (cGAN)

Collazos,

Rincon,

Pinheiro

et al. 2024

Journal of Geophysics and Engineering

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Seismic trace interpolation is a common step in data processing used to fill in missing traces and regularize acquisition grids. In the ocean bottom node (OBN) acquisition, it is common practise to design seismic surveys with many sources and fewer receivers. However, it results in a loss of lateral resolution in the shot-gather domain, although it increases the lateral resolution in the receiver-gather domain. In this paper, we propose to utilize the information from the receiver-gather domain to enhance the lateral resolution in the shot-gather domain, based on the principle of reciprocity. Explicitly, we use receiver-gathers to train a conditional Generative Adversarial Network (cGAN), called Pix2Pix, and obtain a Generative interpolator, which can be used in the shot-gather domain. We present an iterative workflow to perform seismic data interpolation in the shot-gather domain and illustrate the workflow using a synthetic 2D data model consisting of densely populated sources and sparse receivers. We also present a field OBN data example from a Brazilian pre-salt area. The workflow can be used to increase lateral resolution or even complete the geometry of a monitor acquisition to match the baseline. In contrast to conventional methods, this iterative GAN interpolation does not lead to artefacts in the case of larger filling gaps.

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Seismic modeling from scratch using Devito: A demonstration with a typical Brazilian pre-salt model

Cited by 2 publications

References 9 publications

Fast least‐squares reverse time migration based on stable pseudo‐acoustic wave equations for tilted transverse isotropic media

Fast least‐squares reverse time migration based on stable pseudo‐acoustic wave equations for tilted transverse isotropic media

Seismic trace interpolation based on the principle of reciprocity using a conditional generative adversarial network (cGAN)

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