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Smarter Forecasting with Oseberg's Pooling Data


Poolings are a treasure trove of valuable data. As the first company to build an Oklahoma pooling dataset that could be mined and mapped, we saw the value of this from day 1. As is the case with all of Oseberg’s datasets, what makes data valuable is having it in a structured format so you can actually do something with it. As a simple exercise to illustrate this, we looked at all poolings for the state over the last 3 years and used the many date field attributes we create to do some analytics…for example:

  • The average number of days between a pooling application and the pooling order is 103 days
  • We also have an attribute in the dataset that tells whether or not the pooling was protested. If you add that variable you get the following:
    • Average number of days between a pooling application and order for PROTESTED pooling is 189 days.
    • However, a large chunk of those protested poolings are still continued.  The good news is we also count the number of days continued and have that as an attribute, which means that the average number of days continued for a protested pooling is 128 days

Want to know the average lease bonus in certain areas? Compare AFE costs? That can all be done with Oseberg’s impactful and attribute rich pooling dataset: fill out a contact form and we’ll contact you for a demo.

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