Apache has had difficult replenishing the reserve base over the last decade, though Suriname has given the company new hope. In this insight, we recreate the Proved Reserve cash flows from the SEC filings and reforecast them using strip.
In this insight, we build a methodology in R to find executive compensation tables from the SEC and perform a bit of analysis on shale.
Inspired by a tweet from @WAR527, I thought I would build a simple web scraper to pull a table of energy PPP loans into R and see which areas and funds were biggest takers.
In this insight, we build a scraper to pull insider transactions from the SEC. We look at Kodak as an example.
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.
Part 3 in our series on using Python to perform common oil and gas calculations.
Let’s look at Weld County and see the impact of a 2000 ft buffer around homes using R
Part 3 in our series of tutorials in which we use the R programming language to perform common Shale calculations. Enjoy!
In this edition, we walk through developing a Type Curve web application using Plotly Dash in Python.
Oil and gas has been slow to adapt to the digital world. We are here to change that. See our intro tutorial with Python.
In this tutorial, I will run you through the aRpsDCA package in R, actually developed by a guy many of you may know, Derrick Turk of Terminus Data Science. He’s likely not aware, but when I was first getting started I lobbed him a few questions and he gratefully answered and helped me to get …
This will be the start of a continuing series on how to code in R with the assumption that you have never coded in R before and that you work in oil and gas (so hopefully you know the lingo). In this post, I will go through general procedural things, like how to actually install …
Scraping the total debt breakdown for a company isn’t too difficult. In this insight I do so with R for the combined Parsley and Pioneer.
In a continuation of our tutorials in Python, we show how to download fracture stimulation data and use plotting libraries to visualize.
In this post we will dig deeper into SEC filings with R, this time focusing on shale impairments over time.
R contains methods to extract financial statment data from SEC filings. In this insight, I pull down Devon’s Q2 2020 income statement.
Each week Kenny Lay helps us forget our shale troubles with the weekly rollcall on Twitter. Let’s analyze the network with R.
Heat maps are very valuable visual tools and only require data and imagination. I’ll work through an example using R for the Bakken.