Geophysics

Benchmarks archive 2025-07-28

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Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

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Most implemented papers archive 2025-07-28

26 shown of 26 papers with code (77 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.
• OpenFWI: Large-Scale Multi-Structural Benchmark Datasets for Seismic Full Waveform Inversion
  4 Nov 2021 2 repositories listed Syntology ran 4 of 11 samples · 7 unverified
  The recent success of data-driven FWI methods results in a rapidly increasing demand for open datasets to serve the geophysics community.
• Nonstationary blind deconvolution using spectral constraints
  28 May 2025 1 repository listed
  Compared with conventional blind deconvolution methods, NBDSC incorporates prior knowledge of the wavelet power spectrum, thereby reducing inversion ambiguity and improving noise robustness.
• Ditch the Denoiser: Emergence of Noise Robustness in Self-Supervised Learning from Data Curriculum
  18 May 2025 1 repository listed Syntology ran 0 of 2 samples · 2 unverified
  Self-Supervised Learning (SSL) has become a powerful solution to extract rich representations from unlabeled data.
• A Self-Supervised Method for Attenuating Seismic Random and Tracewise Coherent Noise under the Non-Pixelwise Independence Assumption
  11 May 2025 1 repository listed
  The attenuation of seismic field noise using self-supervised deep learning has gained attention due to its label-free training process.
• Posterior Sampling for Random Noise Attenuation via Score-based Generative Models
  19 Nov 2024 1 repository listed
  Random noise attenuation is an ill-posed inverse problem with multiple solutions, especially in complicated field noise situations.
• Inferring directed spectral information flow between mixed-frequency time series
  12 Aug 2024 1 repository listed
  Identifying directed spectral information flow between multivariate time series is important for many applications in finance, climate, geophysics and neuroscience.
• Stochastic Solutions for Simultaneous Seismic Data Denoising and Reconstruction via Score-based Generative Models
  1 Jul 2024 1 repository listed
  We also analyze the advantages of our approach and concluded that successful generative modeling of seismic data by the score-based generative models (SGMs) is the key to posterior sampling for the inverse problems,…
• Two-Dimensional Nonstationary Filtering by Operator Scaling
  1 Apr 2024 1 repository listed
  f–k filtering and Radon transform (RT) are classical methods for processing 2-D seismic signals.
• Generative modeling of seismic data using score-based generative models
  17 Mar 2024 1 repository listed
  We use a score-based generative model to learn the distribution of target seismic data set.
• Absorption-Constrained Wavelet Power Spectrum Inversion for Enhancing Resolution of Nonstationary Seismic Data
  26 Dec 2023 1 repository listed
  Incorporating AWPSI into COM and SS methods leads to AWPSI-COM and AWPSI-SS methods, which yield higher precision wavelet power spectra and remove the spectral fluctuations caused by reflectivity sequences.
• Absorption-Constrained Wavelet Power Spectrum Inversion for Enhancing Resolution of Nonstationary Seismic Data
  26 Dec 2023 1 repository listed
  Incorporating AWPSI into COM and SS methods leads to AWPSI-COM and AWPSI-SS methods, which yield higher precision wavelet power spectra and remove the spectral fluctuations caused by reflectivity sequences.
• 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.
• Rethinking materials simulations: Blending direct numerical simulations with neural operators
  8 Dec 2023 1 repository listed Syntology ran 1 of 2 samples · 1 unverified · 2 pointer-only (licence)
  This methodology is based on the integration of a community numerical solver with a U-Net neural operator, enhanced by a temporal-conditioning mechanism that enables accurate extrapolation and efficient time-to-solution…
• Learning to Decouple and Generate Seismic Random Noise via Invertible Neural Network
  23 Aug 2023 1 repository listed
  Then, by manipulating the latent variable’s partitions encoding high- and low-frequency information, INN can generate quality-controlled fake field data and decouple useful signal and field noise parts from field data…
• LSTM-Based Forecasting Model for GRACE Accelerometer Data
  16 Aug 2023 1 repository listed
  The Gravity Recovery and Climate Experiment (GRACE) satellite mission, spanning from 2002 to 2017, has provided a valuable dataset for monitoring variations in Earth's gravity field, enabling diverse applications in…
• Attenuation of Seismic Random Noise With Unknown Distribution: A Gaussianization Framework
  25 Jul 2023 1 repository listed
  The Gaussianization submodule with learnable parameters maps seismic data with the noise of unknown distribution to the one corrupted by Gaussian noise.
• Seismic Random Noise Attenuation Based on Non-IID Pixel-Wise Gaussian Noise Modeling
  16 May 2023 1 repository listed
  Thus, our proposed framework called VI-Non-IID inclines to have better noise characterization and generalization capabilities, which brings better performance on seismic field NA.
• A general method for extracting the amplitude spectrum of the seismic wavelet from the seismic traces
  12 May 2023 1 repository listed
  When solving geophysical problems using reflection seismology, extracting the amplitude spectrum of the seismic wavelet (ASSW) from a seismic trace is the basis for many downstream works, such as deconvolution and…
• Learned multiphysics inversion with differentiable programming and machine learning
  12 Apr 2023 1 repository listed
  We present the Seismic Laboratory for Imaging and Modeling/Monitoring (SLIM) open-source software framework for computational geophysics and, more generally, inverse problems involving the wave-equation (e.
• Viskositas: Viscosity Prediction of Multicomponent Chemical Systems
  2 Aug 2022 1 repository listed
  Viscosity in the metallurgical and glass industry plays a fundamental role in its production processes, also in the area of geophysics.
• An IMAP method for inversion of medium Q factor using zero-offset VSP data
  8 Apr 2022 1 repository listed
  In the zero-offset vertical seismic profile (VSP), if the data noise is weak, the spectral ratio method (SRM) is considered to be the most reliable and commonly used method for estimating the medium Q factor.
• Data-driven modeling of time-domain induced polarization
  30 Jul 2021 1 repository listed
  We present a novel approach for data-driven modeling of the time-domain induced polarization (IP) phenomenon using variational autoencoders (VAE).
• 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.
• A General Framework Combining Generative Adversarial Networks and Mixture Density Networks for Inverse Modeling in Microstructural Materials Design
  26 Jan 2021 1 repository listed
  Microstructural materials design is one of the most important applications of inverse modeling in materials science.
• 70 years of machine learning in geoscience in review
  16 Jun 2020 1 repository listed
  I explore the shift of kriging towards a mainstream machine learning method and the historic application of neural networks in geoscience, following the general trend of machine learning enthusiasm through the decades.

Syntology lines on 3 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.