Seismic Imaging

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Most implemented papers archive 2025-07-28

16 shown of 16 papers with code (44 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Semi-Supervised Segmentation of Salt Bodies in Seismic Images using an Ensemble of Convolutional Neural Networks
  9 Apr 2019 4 repositories listed
  Seismic image analysis plays a crucial role in a wide range of industrial applications and has been receiving significant attention.
• Learning by example: fast reliability-aware seismic imaging with normalizing flows
  13 Apr 2021 3 repositories listed
  To arrive at this result, we train the NF on pairs of low- and high-fidelity migrated images.
• Reliable amortized variational inference with physics-based latent distribution correction
  24 Jul 2022 2 repositories listed
  While generic and applicable to other inverse problems, by means of a linearized seismic imaging example, we show that our correction step improves the robustness of amortized variational inference with respect to…
• A deep-learning based Bayesian approach to seismic imaging and uncertainty quantification
  13 Jan 2020 2 repositories listed
  Uncertainty quantification is essential when dealing with ill-conditioned inverse problems due to the inherent nonuniqueness of the solution.
• Data-driven Estimation of Sinusoid Frequencies
  3 Jun 2019 2 repositories listed
  Frequency estimation is a fundamental problem in signal processing, with applications in radar imaging, underwater acoustics, seismic imaging, and spectroscopy.
• Noisier2Inverse: Self-Supervised Learning for Image Reconstruction with Correlated Noise
  25 Mar 2025 1 repository listed
  The proposed method learns a reconstruction function without the need for ground truth samples and is ap- plicable in cases where measurement noise is statistically correlated.
• Integrating Physics of the Problem into Data-Driven Methods to Enhance Elastic Full-Waveform Inversion with Uncertainty Quantification
  4 Jun 2024 1 repository listed
  In this paper, by using the knowledge of elastic scattering (physics of the problem) and integrating it with machine learning techniques, we propose methods for the solution of time-harmonic FWI to enhance accuracy…
• Absorption-Constrained Wavelet Power Spectrum Inversion for Robust Q Extraction From VSP Data
  13 Dec 2023 1 repository listed
  In addition, the proposed method has no limitations on the type of wavelet.
• De-risking Carbon Capture and Sequestration with Explainable CO2 Leakage Detection in Time-lapse Seismic Monitoring Images
  16 Dec 2022 1 repository listed
  With the growing global deployment of carbon capture and sequestration technology to combat climate change, monitoring and detection of potential CO2 leakage through existing or storage induced faults are critical to…
• De-risking geological carbon storage from high resolution time-lapse seismic to explainable leakage detection
  7 Oct 2022 1 repository listed
  Amongst the different monitoring modalities, seismic imaging stands out with its ability to attain high resolution and high fidelity images.
• Velocity continuation with Fourier neural operators for accelerated uncertainty quantification
  27 Mar 2022 1 repository listed
  As such, the main contribution of this work is a survey-specific Fourier neural operator surrogate to velocity continuation that maps seismic images associated with one background model to another virtually for free.
• Deep Bayesian inference for seismic imaging with tasks
  10 Oct 2021 1 repository listed
  We propose to use techniques from Bayesian inference and deep neural networks to translate uncertainty in seismic imaging to uncertainty in tasks performed on the image, such as horizon tracking.
• Direct Velocity Inversion of Ground Penetrating Radar Data Using GPRNet
  20 May 2021 1 repository listed
  We simulate numerous GPR data from a range of pseudo‐random velocity models and feed the datasets into GPRNet for training.
• Uncertainty quantification in imaging and automatic horizon tracking: a Bayesian deep-prior based approach
  1 Apr 2020 1 repository listed
  In this paper, we focus on how UQ trickles down to horizon tracking for the determination of stratigraphic models and investigate its sensitivity with respect to the imaging result.
• Acoustic Non-Line-Of-Sight Imaging
  1 Jun 2019 1 repository listed
  Non-line-of-sight (NLOS) imaging enables unprecedented capabilities in a wide range of applications, including robotic and machine vision, remote sensing, autonomous vehicle navigation, and medical imaging.
• Deep-learning inversion: a next generation seismic velocity-model building method
  17 Feb 2019 1 repository listed
  Seismic velocity is one of the most important parameters used in seismic exploration.