Exebenus Spotter
by Exebenus AS
Machine learning solution for early detection of stuck pipe and ROP optimization
Stuck pipe agents, including Differential Sticking, Mechanical Sticking, and Hole Cleaning, leverage real-time data for the early detection of deteriorating conditions that may result in stuck pipe and related issues. By providing a 30-minute to four-hour heads-up before potential events, the solution empowers well engineers, RTOC engineers, data analysts, and drilling supervisors to implement timely mitigation measures, preventing downtime.
The solution caters to users, including well engineers, RTOC engineers, data analysts, and drilling supervisors, addressing the following pain points:
- Non-Productive Time (NPT) caused by deteriorating conditions leading to stuck pipe and related issues.
- Operational data utilization.
Exebenus Spotter Real-time ROP Optimization machine learning agent is unique in its ability to decipher the relationship between the controllable and uncontrollable drilling parameter relationships, without needing specific training on a particular well or field.
The agent provides reliable and consistent advice, by identifying combinations of drilling parameter values – weight-on-bit, RPM and mud flow rate – that increase ROP within safe operating limits, and which may not be obvious to the naked eye based on traditional routines.
At a glance
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