cebirnie92 / SelfSupervisedDenoising_TutorialsLinks
Tutorial material for self-supervised blind-spot and blind-mask denoising for random and coherent noise, respectively.
☆16Updated last year
Alternatives and similar repositories for SelfSupervisedDenoising_Tutorials
Users that are interested in SelfSupervisedDenoising_Tutorials are comparing it to the libraries listed below
Sorting:
- Codes and data for the paper: M. Alfarraj, and G. AlRegib, "Semi-Supervised Sequence Modeling for Elastic Impedance Inversion," in Interp…☆43Updated 3 years ago
- olivesgatech / Estimation-of-acoustic-impedance-from-seismic-data-using-temporal-convolutional-networkThe repository has the PyTorch codes to reproduce the results for our recently accepted paper, "Estimation of Acoustic Impedance from Sei…☆51Updated 4 years ago
- Generating seismic data and associated labels to train deep learning networks.☆108Updated 10 months ago
- Plug and Play Post-Stack Seismic Inversion with CNN-based Denoisers☆31Updated 2 years ago
- This is for AI prediction using seismic attributes☆25Updated 5 years ago
- Neural network based petrophysical property inversion☆40Updated 5 years ago
- Convolutional neural network for seismic impedance inversion☆89Updated 6 years ago
- Framework for computing seismic attributes with Python.☆48Updated 2 years ago
- This is the codes for Unsupervised Seismic Acoustic Impedance Inversion Based on Generative Diffusion Model.☆11Updated 10 months ago
- Automated Well-Tie☆40Updated 2 years ago
- Use Random Forests (RF) to predict subsurface reservoir parameters (e.g. porosity, permeability) and lithology from seismic data.☆12Updated 3 years ago
- Seismic Reservoir Modeling Python package☆113Updated last year
- A Benchmark for Seismic Velocity Inversion from Synthetics☆48Updated last year
- Rock Physics Seismic inversion☆15Updated last year
- Notebooks for basic VSP processing☆36Updated 2 years ago
- Multi-task learning for low-frequency extrapolation and elastic model building☆31Updated 3 years ago
- Porosity estimation from RW-PINNs☆16Updated 2 years ago
- Codes and data for a manuscript in Interpretation Journal, Aug 2019☆21Updated 6 years ago
- Seis2Rock: A Data-Driven Approach to Direct Petrophysical Inversion of Pre-Stack Seismic Data☆24Updated last year
- Deep Denoising Autoencoder for Seismic Random Noise Attenuation☆36Updated 4 years ago
- Seismic data processing with ML and deep learning☆74Updated 6 years ago
- Pyseistr is a python package for structural denoising and interpolation of multi-channel seismic data.☆87Updated last month
- Deep Convolutional Neural Network for Automatic Fault Recognition from 3D Seismic Dataset☆76Updated 3 years ago
- ☆15Updated 3 years ago
- DEPRECATED! See https://github.com/wanggy-1/cigChannel for the latest version☆15Updated 4 months ago
- Contains codes for our work on active learning on seismic interpretation.☆11Updated 2 years ago
- Repository for the paper "Deep Learning for Simultaneous Seismic Image Super-Resolution and Denoising" (IEEE TGRS)☆97Updated 9 months ago
- Seismic Foundation Model☆135Updated last month
- Velocity model building by deep learning. Multi-CMP gathers are mapped into velocity logs.☆41Updated 5 years ago
- Neural network based petrophysical property inversion☆11Updated 6 years ago