Automation & Control

Integrated production data management improves monitoring, reporting

Within the project schedule and budget, Pertamina DOH SBS has successfully implemented a commercial field data capture system that provides constant surveillance of field performance, as well as a daily morning production report

 Salis Aprilian, Pertamina DOH SBS, and Regina Maria, Schlumberger GeoQuest, Jakarta

 At Indonesian state firm Pertamina, the upstream strategy is termed, “First Quality, Then Growth.” As a part of this drive to improve quality (productivity and efficiency), the Pertamina DOH SBS subsidiary initiated steps to improve overall data quality and the information management process. These items relate to production monitoring and surveillance. Pertamina DOH SBS is the parent firm’s largest upstream business unit in South Sumatra. 

 Armed with a vision to fully automate production information, the company reviewed commercially available software that was offered in the area of production information management. The aim was to provide a structured data capturing system, as well as an overall framework for an integrated, production data management system (PDMS).

 System implementation was completed successfully in first-quarter 2002. It is used every day to capture daily field production data and output allocation, and it provides a “Daily Morning Production Report” that is posted at the firm’s website (intranet) by 8 a.m. every morning.

 This field data capture system replaces the MS Excel spreadsheet files that were used previously to gather and store daily production data. It also provides the user with quality control tools – like graphical visualization of historical data – that have significantly contributed toward increasing confidence in data quality.

 This PDMS provides engineers with reliable data, thus minimizing time spent for data collection. Instead, more time will be spent on engineering analysis to increase field productivity. Besides saving time, the improved quality and timely availability of data will considerably improve the success rate, by allowing users to make well- informed decisions.