Machine Learning in Oil and Gas
Banks are using machine learning to increase top and bottom line through gaining competitive advantages, reducing expenses, and improving efficiencies. They are optimizing all areas of their business from risk analysis and fraud detection to marketing, in order to make data-driven decisions that lead to increased profitability.

Use cases in Oil and Gas

Finding New Oil and Gas Sources

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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