Resource Center
Explore our library of product sheets, technical papers, case studies and videos to learn more about Exebenus Spotter and Exebenus Pulse.
New Software Release
Exebenus Spotter 2.10 brings clarity to complex operations with smarter alarms, clearer messages and faster insight.
Built for the engineer turning insight into action.
Product Sheets
Exebenus Spotter Stuck Pipe Agents, product sheet (2025)
Exebenus Spotter ROP Agent, product sheet (2025)
Exebenus Spotter Vibration Agent, product sheet (2025)
Exebenus Pulse, product brochure (2024)
Case Studies
Delivering smarter, safer and more efficient operations.
53 hours too late: How early warnings could have prevented stuck pipe and three days of NPT
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Predictive ML insights helps avoid stuck pipe by guiding real-time rig actions
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Early detection of salt creep prevents stuck pipe and minimizes NPT
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Exebenus Spotter demonstrates the value of real-time analysis in avoiding stuck pipe display
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Gulf of Mexico exploration well with high risk of stuck pipe drilled in 162 days without incident
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Machine learning agent significantly reduces drilling time on ultra-deepwater exploration well
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Real-time predictions and risk awareness help prevent nonproductive time
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ROP Agent reduces drilling time in offshore development side-track well
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National oil company uses Machine Learning to steer through hazardous, high-dogleg intervals while running 9 5/8” casing
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Technical Papers
Innovation with business impact. Turning technology into measurable results.
Modular framework integrating large language models with drilling hazard detection systems to provide operational context-informed interpretations and recommended actions
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System for Real-Time Rate of Penetration Optimization Using Machine Learning with Integrated Preventive Safeguards Against Hole Cleaning Issues and Stick-Slip
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Application of Predictive Machine-Learning Optimisation Enables Successful Delivery of Highly Challenging Wells
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Enhancing Stuck Pipe Risk Detection in Exploration Wells Using Machine Learning Based Tools: A Gulf of Mexico Case Study
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Drilling In The Digital Age: Case Studies Of Field Testing A Real-time ROP Optimization System Using Machine Learning
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Leveraging Targeted Machine Learning for Early Warning and Prevention of Stuck Pipe, Tight Holes, Pack Offs, Hole Cleaning Issues and Other Potential Drilling Hazards
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Case Studies for the Successful Deployment of Wells Augmented Stuck Pipe Indicator in Wells Real Time Centre
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Video Library
Collide 2025
Improving drilling efficiency and safety through Intelligent automation
Watch the Collide Power Hour with Tim Robinson, Chief Data Scientist at Exebenus and Bobby Neal.
Stuck Pipe Risk Detection
Wintershall Dea and Exebenus webinar “Stuck Pipe Risk Detection”
Exebenus Spotter in action
Predicting sticking risks hours before incidents.
Machine Learning presentation
An introduction to machine learning concepts and real life examples.
ADIPEC 2021
Showcasing Exebenus Spotter Stuck Pipe Agent.
Importing liner hanger string
Exebenus Pulse can import toolstrings from Landmark DecisionSpace EDM.
Auto track and validation
See the unique capability of the Exebenus Pulse digital procedure.
Auto tracking and validation
Real-time sensor data validates and tracks operation activities.
A prerequisite for automation
OTC 2021:
Digital operating procedures
SPE IADC 2021
Introducing SPE IADC delegates to Exebenus.
Podcasts
Software updates
Exebenus Spotter 2.9 sets a new standard for scalable drilling intelligence, turning high-volume data into real-time decisions. The latest release delivers more than 10x faster analysis, efficient WITSML integration, and smarter insight across 100+ concurrent wells, all on a lightweight footprint. Built for drilling teams who need speed, scale, and smarter support—every well, every time.
Connect with our team
Have questions or want to learn more? Get in touch today.