Reproducible material for Geophysics - Wang N. and Ravasi M. submitted to Geophysics.

install_conda: conda env create -f environment.yml && conda activate UD_RM

Project structure

This repository is organized as follows:

• 📂 udrm: python library containing routines for upside-down RM method;
• 📂 dataset: folder containing data
• 📂 notebooks: set of jupyter notebooks reproducing the experiments in the paper (see below for more details);

data_for_this_test

• Google drive link: https://drive.google.com/drive/folders/1FAbbypE9BNw9nQT-K79A_I8ua-OBWYf6?usp=sharing

Notebooks

The following notebooks are provided:

• 📙 Data_preparation.ipynb: notebook performing data processing using PZ summation;
• 📙 Data_preparation_use_deghosting.ipynb: notebook performing data processing using PZ summation and source-deghosting;
• 📙 GF_Syncline.ipynb: notebook performing Green's function retrieval for Syncline model;
• 📙 GF_Syncline_sparse.ipynb: notebook performing Green's function retrieval for Syncline model using sparse inversion;
• 📙 GF_Overthrust.ipynb: notebook performing Green's function retrieval for Overthrust model when velocity model is variable;
• 📙 GF_Overthrust_sparse.ipynb: notebook performing Green's function retrieval for Overthrust model using sparse inversion when velocity model is variable;
• 📙 raymckimaging_Synline.ipynb: notebook performing Green's function retrieval for Syncline model in an imaging area;
• 📙 raymckimaging_Overthrust.ipynb: notebook performing Green's function retrieval for Overthrust model in an imaging area.

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 UD_RM