Finding New Oil and Gas Sources

Oil and Gas Operations Decrease Costs Increase Revenue Reduce Risk
In the oil and gas Industry, upstream companies continually search for potential new oil and gas fields, both underground and underwater. Drilling exploratory wells is a significant investment, and you must be able to predict which locations will produce the most profit at the lowest cost.
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The energy industry wants to have a more complete view of assets. With the current price of oil, companies need to look across and identify those wells that will be the most profitable so that they can allocate assets appropriately. It is this timely and accurate information that is required to deliver shareholder value.


DataRobot combines information from all your applications and repositories, using many variables and attributes, to build extremely accurate predictive models for a project. From these models you can determine which assets are most worthy of further exploration. As a result, you deliver more value to shareholders by leveraging assets effectively and minimizing cost and risk.

Why DataRobot

With the click of a button, DataRobot can build the most accurate model to predict which locations will produce the most crude oil and raw natural gas at the most efficient cost.

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Oil Gas
Explore More Oil and Gas Use Cases
Oil & gas companies are using AI and machine learning to drive efficiency, safety, and profitability across the value chain, from technical upstream applications in predictive maintenance to downstream consumer-level use cases in demand forecasting. Explore the art of the possible with our library of AI use cases in the energy sector.