Seismic Inversion

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Most implemented papers archive 2025-07-28

7 shown of 7 papers with code (25 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.

• Estimation of Acoustic Impedance from Seismic Data using Temporal Convolutional Network
  6 Jun 2019 3 repositories listed
  In exploration seismology, seismic inversion refers to the process of inferring physical properties of the subsurface from seismic data.
• Semi-supervised Sequence Modeling for Elastic Impedance Inversion
  19 Aug 2019 2 repositories listed
  The proposed workflow uses well-log data to guide the inversion.
• 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.
• OrthoSeisnet: Seismic Inversion through Orthogonal Multi-scale Frequency Domain U-Net for Geophysical Exploration
  9 Jan 2024 1 repository listed
  However, the detection of sparse thin layers within seismic datasets presents a significant challenge due to the ill-posed nature and poor non-linearity of the problem.
• Time-lapse seismic inversion for CO2 saturation with SeisCO2Net: An application to Frio-II site
  6 Jan 2024 1 repository listed
  Our results suggest pre-training CNNs on physics-informed synthetic datasets and then applying the learned weights to field data is a viable approach to estimating field CO2 saturation.
• 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 Deep Learning-Accelerated Data Assimilation and Forecasting Workflow for Commercial-Scale Geologic Carbon Storage
  9 May 2021 1 repository listed
  Fast assimilation of monitoring data to update forecasts of pressure buildup and carbon dioxide (CO2) plume migration under geologic uncertainties is a challenging problem in geologic carbon storage.