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3d-seismic-image-fault-segmentation

3D Fault Segmentation by U-Net

carbon-capture-and-storage

Integration of reservoir simulation, rock physics, seismic modeling, & geomechanics for CCS monitoring. Originally my BSc thesis and will be presented in EAGE 2020 Amsterdam.

cnnforfaultinterpretation

Deep Convolutional Neural Network for Automatic Fault Recognition from 3D Seismic Dataset

data-mining-pdf

facies-classification---cnn

Bayesian Convolutional Neural Networks for Seismic Facies Classification

facies-classification-from-well-logs

Application of machine learning methods to the problem of facies classification from well logs (With data preproccesing)

fault-detection-using-deep-learning-classification

This demo shows how to prepare, model, and deploy a deep learning LSTM based classification algorithm to identify the condition or output of a mechanical air compressor.

faultseg

Using synthetic datasets to train an end-to-end CNN for 3D fault segmentation (We are working on an improved version!)

kasyful

Config files for my GitHub profile.

learning-pandas-second-edition

Learning pandas, Second Edition, published by Packt

matlab-schemer

Apply and save color schemes in MATLAB with ease.

matlab-t-ml

ml_well_log

The code describes how unsupervised ML can be applied to well log data for efficient clustering. A part of the well log data is provided.

segyio

Fast Python library for SEGY files.

segyio-notebooks

Notebooks with examples and demos of segyio

seismic-deeplearning

Deep Learning for Seismic Imaging and Interpretation

seismic-fault-detection

Aim is to find out the faulty seismic images from the data.

seismic-transfer-learning

Deep-learning seismic facies on state-of-the-art CNN architectures

seismic_deep_learning

A couple of python scripts to interpret geological structures from geophysical images using deep learning

seismicpro

Seismic data processing with ML and deep learning

seismiqb

Seismic data interpretation with deep learning

sfd-cnn-tl

Seismic fault detection in real data using Transfer Learning from a Convolutional Neural Network pre-trained with synthetic seismic data -- Authors: Augusto Cunha, Axelle Pochet, Helio Lopes, Marcelo Gattass