TÜV SÜD Nationwide Engineering Laboratory has launched knowledge analytics service to assist oil and fuel operators minimise stream meter downtime and upkeep, a transfer that goals to considerably decrease working prices
The information analytics service goals to allow operators to adapt condition-based calibration. (Picture supply: TÜV SÜD)
The overall value of calibrating an offshore stream meter is estimated to be within the area of US$50,000 or extra, as soon as all prices incurred are accounted for. Historically, regardless of whether or not a stream meter is deviating from its required working parameters will probably be routinely scheduled for recalibration and operations stopped unnecessarily.
TÜV SÜD’s knowledge analytics service goals to allow operators to maneuver away from this time-based calibration strategy to condition-based calibration, through the use of statistical modelling methods to foretell meter efficiency primarily based on dwell and historic knowledge. As well as, diagnostics data can be utilized to grasp what could also be negatively impacting a meter by analysing hidden patterns to determine particular fault situations. This might embody incorrect set up, instrument injury, particle deposition, the presence of an surprising second fluid section and upstream or downstream stream disturbance.
Gordon Lindsay, head of the digital R&D group at TÜV SÜD Nationwide Engineering Laboratory, stated, “Knowledge Analytics service makes use of knowledge in real-time to detect when a meter isn’t performing to specification and determine the reason for this failure. Because of this end-users can keep away from shutting down manufacturing to take away a tool from the pipeline earlier than an answer to a fault might be discovered. Recalibrations are each expensive and labour intensive, so proactively figuring out the optimum calibration date delivers elevated measurement confidence, decreased downtime and value financial savings.”
