Reproducible material for Geophysical Journal International - Wang N. and Ravasi M. "Imaging the Volve ocean-bottom field data with the Upside-down Rayleigh-Marchenko method"

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);

Notebooks

The following notebooks are provided:

• 📙 1project_wavefield_processed.ipynb: notebook performing basic data processing for Volve field data;
• 📙 2volve_sep_rec.ipynb: notebook performing wavefield separation on the receiver side using PZ summation and source-deghosting;
• 📙 3volve_sep_src_deghosting.ipynb: notebook performing wavefield separation on the source side using source-deghosting;
• 📙 4GF_one_point_modifyshift.ipynb: notebook performing Green's function retrieval for Volve field data;
• 📙 5raymckimaging_upd_volve.ipynb: notebook performing Green's function retrieval for Volve field data 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