DOWNHOLE EVENT MONITOR
- PCP, SRP, ESP Failure Prediction
- Well Stimulation Event Confirmation
- Exceptional clarity of surface and downhole events
- High-resolution play and replay of downhole events
- Easy live and post-job processing of information
The SonicAnalyst™ Downhole Event Monitor provides operators with the ultimate wellbore noise and event analysis package. Derived from our proprietary SonicGauge™ Wireless Monitoring System, the surface monitor observes, amplifies, analyses, and confirms downhole events during well production on artificial lift wells, and during well stimulation procedures such as fracture treatments and perforation.
The technology continuously monitors, records, filters, and interprets well noise in real time, which is sharply displayed in our custom data interface. It displays an audible and visual soundtrack side-by-side with a surface pressure trace to correlate significant downhole events in real-time over many days. At any time, traces can be stopped, re-wound, marked, annotated, auto-scaled, custom scaled, and then return to the real-time trace. Data and annotations are saved for future analysis and can be exported for off-site viewing.
During fracture stimulation treatments, the SonicAnalyst™ Monitor provides positive confirmation of frac ball launch and seating, movement of sliding sleeves, and changes of fluid flow noise indicating frac fluid diversion or breakthroughs. It provides positive confirmation of, and the exact time when perforation guns have been fired downhole, particularly useful if phased perforating timing is used.
Our unique noise analysis software can be used to predict failure of PCP, SRP, and ESP artificial lift systems by filtering, identifying, and interpreting relevant downhole noise data relating to imminent rod failure or ESP burnout. This allows operators to make an informed decision on when to pull the completion averting a catastrophic failure.
Deployment of the SonicGauge™ Wireless Monitoring System downhole with the SonicAnalyst™ at surface provides a complete picture of wellbore events in real-time.
CASE STUDY 1
During a SonicAnalyst™ deployment, the operator was able to identify a missed ball launch at surface that would have resulted in a sleeve not shifting, and a frac not being diverted as required. They were able to reset the frac equipment and complete a successful frac after the fault had been flagged by technology.
CASE STUDY 2
The graph presents averaged noise amplitude data together with the max and min torque readings observed at surface during a few minutes every hour. Data gathered by the SonicAnalyst™ Monitor correlated with rod string torque and four distinct noise / torque peaks were observed before the rod string broke.