CLEAR, INFORMED, ACTIONABLE ADVICE FOR DRILLERS
Exebenus Spotter ROP Agent
The ROP Agent offers a breakthrough in the way ROP is managed.
Instead of relying on complex predrill simulations, operators can trust the ROP Agent to provide real-time recommendations for optimized RPM, weight-on-bit and fluid flow during operations.
As the agent dynamically monitors and analyzes adjustments to these parameters, it deciphers complex cause-and-effect relationships that would be nearly impossible to identify manually—especially in real time.
Powered by machine learning, the ROP Agent provides around-the-clock optimization recommendations while ensuring operations remain within safe limits throughout the well construction program. Its real-time insights eliminate the need for prior well- or field-specific ML training, allowing operators to optimize drilling efficiency without extensive data preparation.
Fastest isn’t always best. Optimal ROP is the highest ROP achievable within safe operating limits.
Key benefits
Delivers consistent real-time parameter recommendations for RPM, weight on bit and fluid
Offers flexible parameter boundaries
Works without customization; usable anywhere
Minimizes the risk of human error by automating complex decisions
It’s
Plug & Play
Time
Integrate machine learning into your operations in a matter of hours. Plug in and play with Exebenus Spotter agents on your next well.
Stronger together
Exebenus Spotter agents are available as standalone solutions, or they can be deployed in bundles, creating powerful synergies that enhance drilling efficiency.
Higher performance with less effort
The ROP Agent monitors RPM and torque in real time. After the drill string has been stationary for a period (e.g. during a connection), the applied force needs to be carefully managed. By using breakover torque and evaluating static friction with the Stuck Pipe Agent, the appropriate rotation force can be applied to prevent hazardous events.
Combining these targeted agents to solve linked problems enhances overall performance beyond what either agent could achieve independently.
Case study
Well delivered 24 days ahead of plan and 2.4 days ahead of technical limit
A field test of the ROP Agent was conducted in an ultradeepwater exploration well in West Africa. The Time Depth Plot shown here compares active drilling time between the field test and offset wells 1 and 2, focusing on active drilling to exclude time spent on connections or other nondrilling activities. An optimized BHA, selected based on prior learnings, was used in the field test, contributing to some of the differences in average ROP. Overall, the comparison highlights a significant reduction in bit-on-bottom time and increased average ROP using the ROP Agent recommendations.
