×

Improving Operational Efficiency and Returns in Oil and Gas

First Name
Last Name
Company Name
Thank you!
Error - something went wrong!
   

Improving Operational Efficiency and Returns in Oil and Gas

May 17, 2018

To remain competitive and maximize returns, oil and gas companies must utilize the massive amounts of data generated in the fields. The rise of the Internet of Things and smart sensors have created a wealth of untapped information to be used.

AI-based solutions extract value from oil field data through data cleansing, feature extraction, and model generation. Models are the cognitive output that predict future operational behaviors and add value to a business.

Previous Flipbook
Case Study: Predicting Rare Failures in Hydro Turbines
Case Study: Predicting Rare Failures in Hydro Turbines

Hydropower is a unique resource in that it is both sustainable and highly efficient at converting natural, ...

Next
Case Study: Predicting Failure for Critical Shipboard Assets
Case Study: Predicting Failure for Critical Shipboard Assets

It is critical for ship operators to invest in systems that limit their exposure to asset failure. The stak...