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Company contact

Mats Hermansen

Senior VP Sales

mats@exebenus.com

+47 98862213

About Exebenus AS

At Exebenus, we know drilling machine learning. 

We believe that what can be done by a machine, needs to be done by a machine. Over 95% of all drilling incidents and hazards manifest early symptoms that can be detected early by a machine learning application and reported to the rig crew.

Our team of drilling engineers and data scientists have developed a unique software, called SPOTTER, that makes machine learning (ML) practical, easy to deploy, friendly to use and scalable to any size of your operations. Spotter software provides a piece of mind, a sense of security, knowing that if there is a hazard ahead, you will be alerted with sufficient time in advance to take corrective actions and mitigate the identified risks. SPOTTER stuck pipe ML agents allowed some operators to reduce the stuck pipe incident rate almost 10 times, from 20 (per 100 wells) to 2.6.

SPOTTER does more than stuck pipe prediction. It also drives ROP optimization via constant analysis of real-time surface drilling data and continuous recommendation for adjustments of operating controls to reach a much higher ROP. Spotter ROP ML agent provided our clients with automatic drilling recommendations that increased ROP by as much as 48% (12-35% in average).

The Exebenus Spotter  machine learning agents enable real-time predictive situational awareness to help you minimize downtime and achieve a breaththrough drilling performance.