TÜV SÜD National Engineering Laboratory launched its Data Analytics service to help oil and gas operators minimize flowmeter downtime and maintenance, significantly lowering operating costs.
Traditionally, irrespective of whether a flowmeter is deviating from its required operating parameters, it will be routinely scheduled for recalibration and operations stopped unnecessarily. The new Data Analytics service will enable operators to move away from this time-based calibration approach to condition-based calibration, by using statistical modeling techniques to predict meter performance based on live and historical data. In addition, diagnostics information can be used to understand what may be negatively affecting a meter by analyzing hidden patterns to identify specific fault conditions. This could include incorrect installation, instrument damage, particle deposition, the presence of an unexpected second fluid phase, and upstream or downstream flow disturbance.
Validation of models created by the Data Analytics service can be conducted in TÜV SÜD National Engineering Laboratory’s accredited calibration facility. This increases end user confidence in results by reducing any levels of error, assuring them that the problem-solving method suggested by the Data Analytics service will be effective in the real world.