The amount of data oil and gas professionals are exposed to is massive. Almost too much at times. Our goal at Shale Insights is to show you how to use that data to get a leg up on your competition and to make you a much more valuable employee to any organization.
Being a coder does not mean writing massive scripts, though it can be if you go that route. Another use is investigating and manipulating data. We will focus on the latter. Think of it as excel on steroids, which can run automatically in the background while you do something else.
Through insights, tutorials, and courses, we will show you how to use common R and Python libraries/methodologies to generate insights and improve your analysis and efficiency, all in the context of an Oil and Gas setting.
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Impact to Weld County from Increasing Buffer to 2000 ft (in R)
Let’s look at Weld County and see the impact of a 2000 ft buffer around homes using R
How to Interpret Frac Focus Data in the Bakken
Follow along as I show how to turn Frac Focus data into something actually usable, with a focus on the Bakken.
Frac Ban in the Permian (Maps in R)
With the election coming, attention has turned to a potential frac ban on Federal Lands. In this insight, I use R and public data to quantify the impact.
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