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
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
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
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. Within the petrophysics and geoscience domains, there are a
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. Within this short tutorial, we
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 as part of the petrophysical
Visualizing Well Paths With The Welly Python Library Creating 3D Line Plots Using Matplotlib to Visualize Well Trajectories 3D Line Plot showing the position of a well path generated from the Welly Python Library. Image by the author. There are multiple depth references used within well logging to denote a position along the wellbore. These include measured
Well Log Data Outlier Detection With Machine Learning and Python Identification of outliers is an essential step in the machine learning workflow Photo by Will Myers on Unsplash Outliers are anomalous points within a dataset. They are points that don’t fit within the normal or expected statistical distribution of the dataset and can occur for a variety of
Identification and Handling of Missing Well Log Data Prior to Petrophysical Machine Learning Part 2 in a series going from Exploratory Data Analysis to Machine Learning with Well Log Data Photo by Markus Spiske on Unsplash Machine learning and Artificial Intelligence are becoming popular within the geoscience and petrophysics domains. Especially over the past decade. Machine learning is
Exploring Well Log Data Using Pandas, Matplotlib, and Seaborn An example of exploring petrophysical and well log measurements using a number of plots from Seaborn and Matplotlib Photo by Markus Spiske on Unsplash Machine learning and Artificial Intelligence are becoming popular within the geoscience and petrophysics domains. Especially over the past decade. Machine learning is a subdivision