In this project, I developed an interactive dashboard to visualize the Well Log data in the Force Dataset, this in three views: a Log Plot, a Map View and a Cross-plot. This dashboard was done using Plotly and Dash.
Inside this repository, you can find the jupyter notebook, well_visual, where there is an step-by-step guide of what I did to develop the dashboard. And there is also a python executable if you don't want to run it on jupyter, this will be easier as you need some extensions for Jupyter to run Dash.
FORCE and XEEK released a well log dataset with more than 100 wells for their 2020 Machine Learning contest, with each well contanaing a set of well logs, a facies interpretation and their location.
To download the dataset, you can go here. The well log data is licensed by Norwegian License for Open Government Data (NLOD) 2.0. and the facies interpretation done by FORCE is licensed as CC-BY-4.0.
There is a requirements.txt file where you can find all the packages used to generate the dashboard. But, as I mentioned before, if you want to run it in Jupyter, you will need to install plotly and dash extensions for Jupyter.