Challenge
A calibration facility for oil and gas flowmeters serving the global O&G market runs a 24 hour operation, in which efficiency is a decisive economic factor. The facility wanted to significantly reduce the turnaround time for calibration cycles, improve the reproducibility of the process and reduce its reliance on experienced operators.
Solution
Over the course of a two-year development programme, large volumes of process data were analysed and machine learning models were developed to optimise the calibration process. The algorithms developed helped operators determine the optimal calibration settings and made the process more consistent and efficient.
Result
- Reduction in calibration time from 8 hours to 3.5 hours
- Improved reproducibility of calibration results
- Reduction from two to one operator per shift
- Higher capacity and more efficient use of the calibration facility