Reproducible material for "Multichannel wavefield reconstruction of land seismic data with stencil-based spatial gradients" - Khatami, MI and Ravasi, M. - 86th EAGE Annual Conference & Exhibition

Project structure

This repository is organized as follows:

• 📂 data: folder containing the data
• 📂 figures: folder containing the image/figures produced from the experiments
• 📂 landmc: a set of package to do multichannel wavefield reconstruction of land seismic data
• 📂 notebooks: set of jupyter notebooks reproducing the experiments in the paper (see below for more details);

You can download the required dataset from the following link: https://drive.google.com/drive/folders/1F3dB9LmiSiUvK-RuncXfWxbOlHKc5Ijj?usp=sharing

After downloading, place the contents into the data/ folder of this repository.

Notebooks

The following notebooks are provided:

• 📙 1. Data Preparation-Synthetic Data.ipynb: notebook performing the preprocessing of the synthetic data;
• 📙 2. LandMCReconstruction-Synthetic Data.ipynb: notebook performing wavefield reconstruction of synthetic data;
• 📙 3. Data Preparation-Field Data.ipynb: notebook performing the preprocessing of the field data;
• 📙 4. LandMCReconstruction-Field Data.ipynb: notebook performing wavefield reconstruction of field data;

Getting started 👾 🤖

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 landmc