Abstract
In alignment with our commitment to decarbonization and sustainability, we prioritize energy optimization initiatives that continuously monitor and improve the energy efficiency of our assets. At Gas Oil Separation Plants, the primary assets identified as Significant Energy Users include multi-stage centrifugal pumps (utilized for water disposal and crude shipping) and centrifugal gas compressors. The energy consumption of these assets is contingent upon their optimal utilization, equipment performance, and settings A systematic data-driven energy balance using aggregated values is proposed as an effective way to monitor & optimize the performance of these assets, and linking of the energy consumption to actual production figures.
The energy balance is performed using available power meters or estimations based on first principles for assets without meters. Data is prepared in order to achieve adequate cleansing and time aggregated values are calculated per Significant Energy Users asset groups. The energy balance is then complemented with production values aggregates and KPls to relate actual consumption figures along with production records.
Aggregated values analysis provides a time-based approach to quantify deviations from optimum performance. Optimum performance for each facility depends on its design and particular configuration. The deviations can be due to a number of reasons such as operating more equipment than required for longer periods, equipment underperforming, non-optimum settings, instrumentation calibration requirements, etc. The periodic automated report of these deviations facilitates timely resolution and continuous usage of generated data for energy optimization.
The modeling tools used in this paper are self-service time-based data analytics solutions with built-in functions for modeling and prediction. It provides features to facilitate use case scalability across different facilities.
