A gentle introduction to creating Streamlit web apps — Streamlit is an open source python based framework for developing and deploying interactive data science dashboards and machine learning models. …

Fast and effective EDA with the Pandas Profiling Library — Exploratory Data Analysis (EDA) is an important and essential part of the data science and machine learning workflow. It allows us to become familiar with our data by exploring it, from multiple angles, through statistics, data visualisations, and data summaries. …

Manage your research, notes and academic references all in one place with Notion — Being an avid researcher with several scientific conference publications, a journal article and numerous Medium articles, I am often faced with mountains of scientific papers to read and review. Even though many researchers use Mendeley, Zotero and other research paper managers, these platforms are mainly aimed at keeping a list…

Quick and simple conversion process to create a LAS file from scratch using LASIO and CSV Data — Well log data can be delivered in a variety of formats (DLIS, LAS, CSV, ASC etc.). If you have a CSV file containing well log data, and you want to convert it to LAS format, you can use the LASIO library LAS files are a simple format. They are simple…

The best open source geoscience datasets for applying data science, machine learning and petrophysical techniques — For many years well logging and petrophysics datasets have remained locked up in oil and gas company servers or government servers and has only been accessible to those people who have the right access privileges. However, in recent years there has been a noticeable shift towards open data, which has…

Discover 6 great python libraries that you can start using today with well log data — One of the great things about Python is the vast number of open source libraries that have been developed to improve the way we work with data and make sense of it. …

Display Extra Information on your Plotly Express Scatter Plots — Scatter plots are a commonly used data visualisation tool within data science. They allow us to plot two numerical variables, as points, on a two dimensional graph. From these plots, we can understand if there is a relationship between the two variables, and what the strength of that relationship is. …

An Example of Creating Interactive Scatter Plots Using Well Log Data — Scatter plots allow us to plot two variables from a dataset and compare them. From these plots, we can understand if there is a relationship between the two variables, and what the strength of that relationship is. Within petrophysics scatter plots, are commonly known as crossplots. They are routinely used…

Creating 3D Line Plots Using Matplotlib to Visualize Well Trajectories — There are multiple depth references used within well logging to denote a position along the wellbore. These include measured depth (MD), true vertical depth (TVD), true vertical depth subsea (TVDSS) etc. All of which are critical measurements for the successful development and completion of a well.