ChatGPT’s Code Interpreter, now renamed to Advanced Data Analytics, has been out for some time now. It was launched on July 6th 2023, and is a plugin developed by OpenAI to allow users to upload data and perform analysis on it. This can range from cleaning the data, creating visualisations and summarising the data. Rather than
Within the geoscience disciplines of the oil and gas industry, various formats are used to store well logging and petrophysical data. Two of the most common formats are LAS files and DLIS files. LAS files are flat ASCII files that can easily be read using any text editor, whereas DLIS files are structured binary files containing tables of information about
k-Nearest Neighbors (kNN) is a popular non-parametric supervised machine learning algorithm that can be applied to both classification and regression-based problems. It is easy to implement in Python and easy to understand which makes it a great algorithm to start learning about when you start your machine-learning journey. Within this article, we will cover how
When working with well log measurements and subsurface data we are often dealing with different file formats and sample rates. For instance, well log measurements are typically stored and transferred within .las files or dlis files and sampled every 0.1m or 0.5ft. Geological formation tops on the other hand are single discrete depth points. This requires interpolation
When working with subsurface data we often deal with datasets that have been sampled in different ways. For example, well log measurements are continuously recorded over intervals of the subsurface at regular increments (e.g. measurements every 0.1 m), whereas formation tops are single depth points. Within this article, we will cover a way of integrating
Using well log data to subdivide and group the subsurface into meaningful packages is a common task within geoscience and petrophysics. It allows log responses and rocks that exhibit similar responses and characteristics to be grouped together into what is known as facies. Once they are grouped together they can be used for further analysis,
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
There are a number of different formats that well log and petrophysical data can be stored in. In the earlier articles and notebooks of this series, we have mainly focused on loading data from CSV files (here) and LAS files (here and here). Even though LAS files are one of the common formats, they have