Visualizing the RRC Data in the Cloud

Part 1: Well Locations

Last week I wrote a blog post talking about the TX RRC publishing data to the public that previously was only available via a paid subscription.

After downloading the different data sets and examining the various types of data and formats, I decided to take a closer look at the data that might prove to be useful to us and to our Productioneer clients.

It is not uncommon for location and depth data, as well as other well-header and meta data to be incomplete or non-existent during a software migration, after all this data might not be considered crucial for the daily gauge sheets. Especially in the case of Excel gauge sheets, where additional columns are a waste of “prime real estate” and might be considered as cluttering that particular production report.

It would be nice if we have a quick way to pull the Lat Long data in bulk to speed up the on-boarding process.

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Processing Excel Data with Powershell

When a new customer signs up for Productioneer, Mi4 imports their historical data from their previous system into their new Productioneer environment so that they can have a comprehensive view of their assets. Typically our customers are switching from another system like GRT, FieldDirect, Merrick, etc and the data is relatively straightforward for us to import.

Sometimes we have clients that weren’t using a field data capture system at all and were keeping track of their production in Excel. Normally these companies only have 20 or so wells and manually manipulating the Excel spreadsheets into an importable format isn’t too labor intensive.

An exception to this rule was a new client we on-boarded, let’s call them Hakamada Resources because their actual name isn’t really pertinent to the blog post and this Juzo Itami movie I just watched was really good.

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