This will be the last “free data” post for a while as we are sure everyone who frequents our blog wants to see other uses for Python in the oil and gas industry – we may even do other sectors coming up, so keep checking back. We forgot to include Wyoming in our previous post regarding where to find cheap public oil and gas data sets for the U.S. – and we think it would be remiss not to include the great state of Wyoming on our list considering how much free, high quality data they offer on their site. So, lets get started…
Where to Get It and What They Have
The main page for the Wyoming data sources is HERE. You can see they are definitely not stingy with the data sharing. Outside of the production and header data we will show you how to pull and reshape, they give you access to an incredibly large amount of information for a state website. One link in particular stands out to us for future analysis and that is their gas plant data. It looks like it is only in aggregate at the state level, but they drill down and provide you with links to their individual plant data (in Excel format). Incredibly helpful and insightful.
For the data we will be looking at, go HERE. It looks like a site address that may change from computer to computer, so you can also get to the same thing we are looking at by following the “download” link on that initial list page we linked to at the beginning of this section. Click it and you will come to this page:
You should separately select the two items in the menu we have grayed out on the image. Select one, click the cowboy to the left of the menu, then do the same for the other file. Once you download those two zipped files and perform the extraction, you will have 2 DBF files (well header data for wells that have been permanently P&A’d along with the same data for all other well statuses) and 4 Excel files (monthly production broken out by groups of counties).
Basic Process to Reshape the files
This will be a very short post because, as usual, we provide you the code below and on our GitHub repository – and that code is very well detailed as to what is happening at each step. The one thing we do want to mention is that along with the standard data that comes in the well header data, we also show a way to get a good estimate on lateral lengths using geopy and the lat/longs for surface and bottom hole locations. If you follow how we have it set up, you can apply this to every other data set you may have where you have the lat/longs, but not necessarily the actual lateral lengths for horizontal wells.
Final Note
We did a little cleaning on this, but, like everything else you find on the internet, you will need to do some editing yourself. You probably have a much smaller area of interest that you will want to dig down into and make sure is as clean as possible for whatever project you are working on. Though, in the meantime, you now have a way to get a large amount of what you would need to do evaluations on wells in Wyoming – ~164,000 wells and 17 million+ lines of production values.
Code
GitHub repository HERE.