olivesgatech / Estimation-of-acoustic-impedance-from-seismic-data-using-temporal-convolutional-networkLinks
The repository has the PyTorch codes to reproduce the results for our recently accepted paper, "Estimation of Acoustic Impedance from Seismic Data using Temporal Convolutional Network", in SEG Technical Program Expanded Abstracts, 2019.
☆51Updated 4 years ago
Alternatives and similar repositories for Estimation-of-acoustic-impedance-from-seismic-data-using-temporal-convolutional-network
Users that are interested in Estimation-of-acoustic-impedance-from-seismic-data-using-temporal-convolutional-network are comparing it to the libraries listed below
Sorting:
- Convolutional neural network for seismic impedance inversion☆88Updated 6 years ago
- Seismic data processing with ML and deep learning☆72Updated 6 years ago
- Rock Physics Seismic inversion☆15Updated last year
- Neural network based petrophysical property inversion☆39Updated 5 years ago
- A Volve-alike synthetic dataset for testing of seismic processing and imaging algorithms☆13Updated last year
- Codes and data for the paper: M. Alfarraj, and G. AlRegib, "Semi-Supervised Sequence Modeling for Elastic Impedance Inversion," in Interp…☆42Updated 3 years ago
- Seismic Reservoir Modeling Python package☆110Updated last year
- Seismic Velocity Modeling using Deep Transfer Learning☆19Updated 5 years ago
- Framework for computing seismic attributes with Python.☆48Updated 2 years ago
- Maximal overlap discrete wavelet transform is combined with recurrent neural network to automate the labeling of seismic facies data. Th…☆17Updated 3 years ago
- A Benchmark for Seismic Velocity Inversion from Synthetics☆47Updated last year
- Velocity model building by deep learning. Multi-CMP gathers are mapped into velocity logs.☆41Updated 5 years ago
- Codes related to the publication Gaussian mixture Markov chain Monte Carlo method for linear seismic inversion☆42Updated 2 years ago
- Automated Well-Tie☆38Updated 2 years ago
- Code for the article : Seismic velocity estimation: a deep recurrent neural-network approach☆21Updated 2 years ago
- ☆24Updated 4 years ago
- Program for Seismic Wave Simulation☆38Updated 4 years ago
- Using convolutional autoencoders to remove random noise from seismic data.☆18Updated 4 years ago
- Deep Convolutional Neural Network for Automatic Fault Recognition from 3D Seismic Dataset☆74Updated 3 years ago
- Notebooks for basic VSP processing☆36Updated 2 years ago
- Pyseistr is a python package for structural denoising and interpolation of multi-channel seismic data.☆85Updated 3 weeks ago
- Official Implementation of "Stochastic seismic waveform inversion using generative adversarial networks as a geological prior"☆57Updated 6 years ago
- Seismic Reservoir Modeling package☆54Updated 10 months ago
- Deep-learning seismic facies on state-of-the-art CNN architectures☆86Updated 3 years ago
- Seismic inversion☆21Updated 4 years ago
- Multi-task learning for low-frequency extrapolation and elastic model building☆29Updated 3 years ago
- Unsupervised seismic facies analysis via deep convolutional autoencoders.☆26Updated 3 years ago
- Seismic Forward Modeling written in Python☆32Updated 7 years ago
- Use Random Forests (RF) to predict subsurface reservoir parameters (e.g. porosity, permeability) and lithology from seismic data.☆12Updated 3 years ago
- Neural network based petrophysical property inversion☆11Updated 6 years ago