Real Time Surveillance as Key Enabler to Digital Oilfield Operation

Abstract

As a key element in Swadaya oilfield operation, surveillance take a major role in identifying its performance as well as consideration to further development for each facility down to the smallest level  oil well. Currently, oil well surveillance involve several activities such as physical check roving, well test, artificial lift information and fluid level measurement. All this surveillance activity requires physical work where the executor would come and do the work in the well site. As one of the breakthrough evolution, real time surveillance is implemented to get more surveillance data point without having the physical work conducted on-site. This activity is done by utilizing SCADA technology that is radio transmission, connecting it  into artificial lift controllers and transmitting its key information such as motor status, ampere-voltage reading, pump intake pressure-temperature and surface pressure information.  As one of the key improvement, the physical roving that conducted by Field operator could be improved significantly in respond to any well finding. A study was conducted in early 2017 indicated respond time to detect pump failure by operator roving is 24.8 hours. Continuous collaboration was formed with Field Ops and IT to set up 24/7 command center and integrating the real-time surveillance data into well database. Together with full real-time surveillance monitoring capability, a significant result started to  merge. The respond time of the welldown identification is improved by 44% to 13.7 hours. Throughout a year, this improvement contributed ~153M BO of LPO avoidance due to acceleration in identifying welldown, resulting in significant revenue increase from around 400 SCADA installed wells.  Having more surveillance data, one can generate better pump performance review. This, include pump failure detection module that developed using Artificial Intelligence (AI) fuzzy logic. The identified failing pump, thus, immediately being reviewed and final recommendation for pump replacement can be submitted. Doing this, not only improve well performance afterwards, but also improving the loss production opportunity (LPO) due to its projected poor pump performance. As a path forward, the SCADA expansion project is necessary as well as developing more integrated model in data utilization such as Virtual Well Test simulation and other Artificial Intelligence module.