Release 2.9
Faster analysis. Greater scale. Smarter operational decisions.
A new engine for smarter well delivery and scalable real-time insight
Release #: Release 2.9
Date: July 1, 2025
Drilling teams are driven to improve. Engineers want to learn from past operations, avoid mistakes, and deliver better results with each well. While there’s real pressure to optimize performance, the push to raise the bar comes from within the teams themselves.
Yet, engineers are often held back by slow tools, outdated “best practices,” and rising costs, all while trying to reduce operational risk.
Exebenus Spotter Release 2.9 is designed to overcome these challenges.
With a significantly upgraded backend, Exebenus Spotter now runs historical analyses twice as fast and communicates more efficiently with WITSML stores. This enables engineers to quickly identify stuck pipe risks and optimize rate of penetration (ROP) based on actual performance data, turning analysis into a practical, fast, and impactful part of continuous improvement.
What was once a time-consuming tasks is now a fast, practical part of daily operation.
Release 2.9 transforms historical analysis into a real-time advantage, helping teams make better decisions before and during drilling.
Tim Robinson, Chief Data Scientist
Release 2.9 gives drilling engineers a stronger foundation for operational intelligence with XX faster analysis, efficient integration to WITSML store, and the ability to oversee more rigs at once. It’s about turning high-volume data into high-value decisions, across the well delivery.
Scalable to multiple concurrent operations
It also improves scalability. Exebenus Spotter now supports more concurrent operations with faster processing and less strain on data infrastructure. Engineers can monitor multiple wells at once, gain consistent insights across assets, and act on issues as they arise.
Release 2.9 also improves scalability. Exebenus Spotter now supports more concurrent operations with faster processing and less strain on data infrastructure. Engineers can monitor multiple wells at once, gain consistent insights across assets, and act on issues as they arise.
Release 2.9 turns performance data into a real-time asset for smarter, faster, and safer well delivery.
Historical analysis practical and powerful
Historical analysis is a key tool for learning and improving future operations. With Exebenus Spotter Release 2.9, engineers can uncover insights from past wells, such as ROP parameters, vibration effects, and stuck pipe risks, faster and more efficiently. The following case stories show how these insights lead to better planning, reduced risk, and smarter drilling decisions.
Oman case study: Historical ROP optimization analysis
Well performance review: Insight from the ROP Agent
As part of this historical well analysis, Exebenus Spotter was used to evaluate the rate of penetration (ROP) optimization potential. The drilling program had the following parameter limitations for the section analyzed:
- Weight on Bit (WOB): Up to 35 klbs
- RPM: Target of 100 RPM (pre-set), operational limit later adjusted to 80 RPM
- Flow rate: 500–650 gallons per minute
The goal was to assess how well drilling operations adhered to optimal drilling parameters and identify opportunity for improving ROP performance.
Key findings and recommendations
- WOB: The ROP Agent recommended alternating between lower, stable, and higher WOB settings to better match formation changes. With WOB staying within program limits, historical analysis showed that adjusting WOB in line with the agent’s guidance could have delivered a 10–25% increase in ROP. This highlights the value of real-time adaptation to subsurface variability.
- RPM: Although the drilling plan initially allowed up to 100 RPM, this was reduced to 80 RPM in practice—and often underutilized. The ROP Agent consistently recommended higher RPM within the safe range. Following these recommendations could have improved ROP by over 30% during specific intervals, underscoring a missed opportunity for enhanced drilling efficiency.
- Flow rate: The agent’s recommended flow rates closely matched actual values, except during sliding intervals where ROP was not a key concern. As a result, any deviations had minimal impact on overall performance.
Conclusion
This historical analysis demonstrates how Exebenus Spotter can provide clear, actionable opportunities for improving ROP, often within existing equipment and operational constraints.
If the ROP Agent’s recommendations had been followed during the operation, the section could have been drilled faster and more efficiently, reducing cost and time without compromising safety or requiring new tools.
For drilling teams striving to improve performance well over well, Exebenus Spotter provides the insight needed to drill smarter using real-world data.
Built for drilling managers and engineers Release 2.9 makes historical analysis practical and powerful
Indonesia case story: Historical stuck pipe risk analysis
Well performance review: Turning historical data into actionable insight
As part of a historical analysis, Exebenus Spotter was used to investigate a stuck pipe incident that caused 25 days of non-productive time (NPT) and a sidetrack. With Release 2.9, the faster data engine allowed engineers to efficiently analyze 68 days of real-time WITSML data. This provided a detailed understanding of the conditions leading up to the event, and how those learnings helped prevent a similar issue in the sidetrack.
Key findings and observations
- Pre-event risk identification: The Stuck Pipe Agent issued multiple warnings up to 12 hours before the pipe became stuck during tripping out. Alerts for mechanical drag, static friction, and breakover torque clearly marked the depth interval where risk was escalating.
- Operational insight: While drilling, the agent detected hole cleaning issues that pointed to debris buildup in the wellbore. Although pipe rotation and high flow rates helped mitigate risk, Exebenus Spotter revealed increasing pack-off conditions. As the team began tripping out, warning frequency rose, indicating accumulating debris around the BHA and mounting drag resulting in the stuck pipe event. The analysis showed how risk developed gradually and where earlier mitigating actions could have made a difference.
The Stuck Pipe Agent flagged a sequence of risks warnings starting 12 hours prior to the stuck pipe event: breakover torque risk (A), fluid friction (B), numerous escalating mechanical drag (C), and finally static friction warnings (D). Together, these offered a clear progression toward the final pack-off, giving the rig team a window for intervention, had the system been running live.
- Post-incident learning: The sidetrack, drilled at similar inclinations, reflected a much more cautious approach. Extended reaming at each stand and four hours of reaming at section TD helped avoid a repeat event. These adjustments confirmed the value of the risk zone identified in the original operation.
Conclusion
This case illustrates how Exebenus Spotter enables fast, effective analysis of complex drilling data to uncover critical operational insights. Using historical data, engineers can clearly identify failure patterns and apply lessons learned to future wells.
Had Exebenus Spotter been used in real time, its early warnings—issued up to 12 hours before the event—could have enabled timely mitigation, reducing risk and potentially avoiding the costly sidetrack altogether.
Release 2.9 empowers engineers to monitor multiple operations concurrently, turning data into actions more consistently and without added complexity
Smarter oversight across every rig – scaled and in real time
In today’s environment, managing multiple well operations at once is standard. To stay cost-efficient and competitive, operators need tools that scale effortlessly, ensuring consistent performance, shared learnings, and minimal overhead across assets.
Release 2.9 of Exebenus Spotter makes this scalability a reality.
With a faster backend and improved processing engine, Exebenus Spotter now supports real-time analysis across several active wells concurrently, giving your engineers real-time visibility without overloading infrastructure or staff.
Faster engine, smarter decisions
Optimizes for concurrent operations without performance drop
Processes high-frequency data in minutes, not hours
Reduce WITSML Read requests by 25%
Minimizes load with WITSML Write requests for ligher infrastructure impact
Consistent monitoring, continuous insight
Exebenus Spotter’s machine learning agents run in the background, always on, and to deliver:
Scalable monitoring across multiple concurrent operations
Objective interpretation of real-time data
Automated early warnings and alarms based on risk indicators
Consistent insight across rigs and teams
Release 2.9 makes real-time, multi-operation monitoring not just possible—but practical.
It’s
Plug & Play
Time
Want to see how Exebenus Spotter Release 2.9 can help reduce risk and optimize performance in your next well? Contact our team to schedule a walkthrough.