Notice: This repository has been archived and is no longer under active development. If you have any questions or requests related to the work or content within this repository, please contact the authors of the associated publication directly.

Getting started with acoustic well log data using the dlisio Python library on the Volve Data Village dataset

This repository contains the companion Jupyter Notebook to the article Getting started with acoustic well log data using the dlisio Python library on the Volve Data Village dataset by Erlend Magnus Viggen, Erlend Hårstad, and Jørgen Kvalsvik, published in April 2020 as part of the Proceedings of the 43rd Scandinavian Symposium on Physical Acoustics.

How to run the notebook locally

git clone https://github.com/equinor/dlisio-notebooks.git
cd dlisio-notebooks
pip install -r requirements.txt
jupyter notebook

The file used in this notebook is from the Volve field, which was made publicly available by Equinor in 2018. The file, along with the rest of the Volve data can be downloaded from here. Specifically, the notebook uses the well integrity log file WL_RAW_PROD_AC-AIMG-CCL-GR_2013-06-05_2.DLIS from well F-11 B. The notebook will download the file to the root folder automatically, if it's not already there.