@inproceedings{b80a04fa6d194908b66f4d5caba4b952,
title = "Optimization of carbon dioxide (CO2) captured and distribution for enhanced oil recovery",
abstract = "In Indonesia, there are many power plants either owned by PLN or private company (non PLN) with varying electricity. The production of electricity will incur environment negative impact due to carbon footprint. As pollutant or byproduct, carbon dioxide (CO2) has economical potential becoming a raw material or other industrial process such as enhanced oil recovery (EOR). CO2 EOR is an effort to enhance oil recovery by injecting CO2 at tertiary stage of oil production. CO2 EOR can be applied in Indonesia, because there are a lot of power plants (sources) and oil companies (sinks), especially in East Java. It has possibility to transport CO2 from power plants to oil companies through pipelines. However, it required cost of CO2 capture, pipelines and EOR facilities. The cost depends on the amount of CO2 demand and supply, distance and technologies. Therefore, it should be optimized due to variation in the amount of CO2 and distance. The optimization variables are pipelines path and CO2 captured mass flowrate. There are 7 CO2 sources with different both capacities and locations. On the other hand, there are 7 oil companies (sinks) with different CO2 injection demand. Optimization result shows minimum CAPEX and OPEX. The CAPEX and OPEX values of each source depend on the distance between source and sink as well as the amount of CO2 mass flowrate. The chosen sources of captured CO2 are source 1, 3, 4 and 7. The remaining sources are not utilized due to cost consideration.",
keywords = "CO captured, Enhanced oil recovery, Optimization, Sinks, Sources",
author = "Biyanto, {Totok R.} and Jaswadi and M. Khalil and H. Setiawan and Gabriella, {P. D.} and D. Setiyawan and Utomo, {A. P.} and E. Triastutik and A. Wibawa",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 International Conference on Advanced Mechatronics, Intelligent Manufacture, and Industrial Automation, ICAMIMIA 2017 ; Conference date: 12-10-2017 Through 14-10-2017",
year = "2018",
month = jun,
day = "15",
doi = "10.1109/ICAMIMIA.2017.8387574",
language = "English",
series = "Proceeding - ICAMIMIA 2017: International Conference on Advanced Mechatronics, Intelligent Manufacture, and Industrial Automation",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "141--145",
booktitle = "Proceeding - ICAMIMIA 2017",
address = "United States",
}