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DATA PROCESSING FOR PREDICTIVE MAINTENANCE

Background

In October 2016, one of the main majors in the Republic of Congo chose ROAV7 and its local partner to perform a close visual inspection of a confined compartment of a FPU with presence of H2S.

A FPSO hull requires an annual visual inspection in order to retain the main class.

The inspections were previously performed by rope access and scaffolding involving 10 men over 15 operational days.

Operation

2 ROAV7 field engineers performed the UAV inspection within 10 operational hours. Such an intervention preserves the integrity of the structure by eliminating the risks associated with traditional operation modes (such as rope access).

Data Processing

ROAV7 collected the necessary imagery and recreated an orthosmosaic and a 3D model of each wall with an average resolution of 1mm/pixels. This digital model allowed multiple experts to perform the inspection from their office. The full object representation and easy image accessibility mitigate the risk of miss-reporting and miss- representation of the anomalies. Furthermore, the accurate referential helps maintenance worker to perform their jobs faster.

Personnel and equipment

2*PAX (Operations manager & Field engineer)
2*UAVs designed for inspection
5*Local Positioning Systems
2*High-definition digital cameras
1*Specific light for UAV & 1* Lightning Ballon
Total weight: 125 kg in 6 boxes

Achievements

ROAV7 is able to detect, measure and sur- vey the anomalies in the referential of interest. ROAV7 can also perform periodic surveys in order to ensure a constant monitoring of the emergence and evolution of surface anomalies.
Data processing is a unique tool for predictive maintenance and risk management.

ROAV7 Mission

ROAV7 is committed to do more with less while supporting the new challenges of the Oil & Gas industry. ROAV7 actively works on data acquisition, processing and interpretation to deliver customized risk management solutions.