There’s never been a greater incentive for oil & gas companies to reshape processes based on data-driven insight.
But if you work in the upstream segment, you know that this is easier said than done. For complex tasks like finding new drilling locations, traditional analytics simply won’t cut it—knowing what has happened in the past doesn’t account for the unique geological properties of each location, and the cost of looking in the wrong place can add up quickly.
In this whitepaper, you’ll learn:
- Why traditional analytics techniques aren’t enough when it comes to complex tasks in the upstream segment
- AI use cases for upstream oil & gas organizations including proven projects for subsurface classification and PCP pump failure prediction
- The importance of making forward-looking techniques like data science more accessible throughout your organization
Download our whitepaper to learn how data science can help you improve the predictability of exploration and drilling.
RMiner_Upstream_oil_gas_2022Find out how data science can transform your oil & gas business
We apply our expertise to help you identify the use cases you should tackle in your organization. The outcome is an impact-feasibility map that you can use with or without us.
