This repository contains all the routines that our group has created to manipulate and visualize SEG-Y data produced by STRYDE SeismicQC software.

Moreover, all the notebooks created to perform basic analysis of the data acquired over time are also available for others to get started with the associated data.

Project structure

This repository is organized as follows:

• 📂 pystride: python library containing basic routines for data manipulation and visualization;
• 📂 data: folder containing links to the datasets acquired by our group (and used in the notebooks);
• 📂 notebooks: set of jupyter notebooks performing basic analysis of the different datasets;

Getting started for users 👾 🤖

To install pystride, simply type: of the results, we suggest using the environment.yml file when creating an environment.

pip install git+https://github.com/DIG-Kaust/StrydeProjects.git@main

Getting started for devs 👾 🤖

To ensure reproducibility of the results, we suggest using the environment.yml file when creating an environment.

Simply run:

./install_env.sh

It will take some time, if at the end you see the word Done! on your terminal you are ready to go. After that you can simply install your package:

pip install .

or in developer mode:

pip install -e .

Remember to always activate the environment by typing:

conda activate strydeenv

DISCLAIMER: All datasets are acquired by KAUST for teaching and research purposes. As such, they may not follow standard/manufacturer recommended operational procedures for source and receiver operations. Similarly, the related processing of the dataset is solely produced by KAUST.