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Oil and Gas Industry Case Study: Lease Analytics through AI Acceleration

oil and gas big data case study

See A New Way that One Upstream Company is Optimizing and Analyzing Lease Data for Big Gains

Has a recent acquisition provided you a truckload of lease packets?

Don’t waste time manually processing them for your oilfield data management operations.

One of the largest, publicly traded operators in the Permian had an extensive backlog of unstructured acquisition and lease records, including more than 2,000 leases related to assets in the Permian Basin and the San Juan Basin.

This represented nearly half a million pages of lease documents. The Permian operator then used AI acceleration with Grooper to process the vast volume of unstructured data.

Within days, the operator received a SQL extraction file containing structured lease data that could be loaded directly into its land database.

In this big data case study, discover:

  • How much time they are saving in processing land data
  • Which costs are being dramatically cut
  • How they are using AI acceleration to stay one step ahead of the competition

Learn about an data integration technology that is benefitting the oil and gas industry in many ways, not just in lease processing:

oil and gas big data case stu

Give it a Try

The Grooper Experience Will Change You

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