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Exebenus logo — Targeted machine learning applications for breakthrough dril...

Exebenus

Targeted machine learning applications for breakthrough drilling performance

Founded 2014 Norway Norway 18 employees AI, Automation +3

General Information

Company Name Exebenus
Founded Year 2014
Location Norway Norway +4
Employees 18
Industries AI, Automation, Energy +2
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About Exebenus

Exebenus is a US-Norwegian company that specializes in real-time machine learning applications to tackle critical drilling NPT and ILT issues. Their targeted machine learning algorithms focus on specific problems such as mechanical sticking, differential sticking, hole cleaning, washouts, mud losses, and ROP optimization, among others. The solution is a plug-and-play web application that can be set up in 5-20 minutes on the next well, independent of WITSML vendors and without the need for pre-trained models or back-office engineering support. The company applies a machine learning solution based on proprietary, new-generation, and physics-informed algorithms, consistently delivering over 90% precision on any type of well. Their Exebenus Spotter machine learning agents provide real-time predictive situational awareness during oilfield operations, offering pragmatic, manageable, and easy-to-use instruments that significantly reduce downtime and enhance drilling performance. Exebenus aims to transform machine learning from being hard to access to an everyday "wrench" tool, providing a system that is user-friendly, reliable, scalable, robust against false alarms, and affordable. A senior drilling engineer in the US Permian was quoted saying, "Why would you ever drill a well without an application that can predict getting a stuck pipe 1-4 hours in advance? It's like driving a car without the ABS or any other safety system." Founded in 2014, Exebenus operates in the AI, Automation, Energy, Oil and Gas, and Machine Learning industries. Although no specific headquarters or latest investment information is available, the company's focus on leveraging machine learning for real-time drilling optimization presents promising potential for disruption and innovation in the oil and gas sector.

Taxonomy: Machine learning, Real-time operation, Drilling automation, Digitalization, Predictive maintenance, Oil and gas industry, Drilling performance optimization, Risk awareness, Well planning, Situational awareness, Automated operations, RTOC, ROV optimization, Predictive analytics

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FAQ About Exebenus

Targeted machine learning applications for breakthrough drilling performance
Exebenus was founded in 2014.
Exebenus is headquartered in Norway.
Exebenus operates in the following industries: AI, Automation, Energy, Oil and Gas, Machine Learning.
Exebenus has approximately 18 employees.
Top alternatives and competitors to Exebenus include Innova Drilling & Intervention, Prevision.io, Migrations.ml, Lumnion, Sensoleak Global, Inc.. These companies operate in related industries and serve comparable markets. You can compare them side by side on Bounce Watch.
Exebenus and Innova Drilling & Intervention are both companies in similar industries. Compare their funding, team size, growth signals, and market position on Bounce Watch to see which one fits your needs.

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