Source-Sink Matching for CO2-EOR Application with Network Clustering Methods in Pertamina EP Fields

Abstract

Mostly oil and gas fields in Indonesia in mature conditions with a very large remaining reserve requiring EOR (Enhanced Oil Recovery) technology to increase national oil and gas production. The alternative injection method in EOR is to use CO2, where Indonesia has abundant potential and its application can help the greenhouse effect management program by the government. This study aims to determine the priority single pair between CO2 source and three PT Pertamina EP field candidates/sink with network clustering and systematic multiparameter comparison method. Clustering is conducted by making buffers as far as 100 Km and 200 km. Consideration of source-sink matching is determined by the daily CO2 rates, CO2 removal facilities, source-sink distance, alternative sources, and infrastructure. Result shows that the sink F6 has the highest priority among the other two with CO2 source from gas plant S98 which have CO2 removal and CO2 rate between 5.000-10.000 t/d, other alternative sources from power plant S21 and gas plant S99 that has rate at the same range. The detail economic and sub-surface condition are not  considered, thus becoming a limitation in this study.