Optimisasi Kondisi Operasi CO2 Enhanced Oil Recovery: Studi Kasus, Prudhoe Bay, North Slope Alaska, Usa.

Iskandar, Cahaya Sultan (2022) Optimisasi Kondisi Operasi CO2 Enhanced Oil Recovery: Studi Kasus, Prudhoe Bay, North Slope Alaska, Usa. Other thesis, Institut Teknologi Sepuluh Nopember.

Text 02311840000047-Undergraduate_Thesis.pdf Restricted to Repository staff only Download (3MB)

Abstract

konsumsi bahan bakar fosil terus meningkat tiap tahun nya dan kemungkinan untuk menemukan cadangan baru akan semakin sulit. Dapat diperkirakan jika laju konsumsi dan produksi saat ini terus berlanjut, cadangan minyak bumi akan habis dalam 50 tahun. Meningkatnya kesulitan dalam menemukan lapangan minyak baru menyebabkan perusahaan minyak berusaha meningkatkan nilai Recovery Factor untuk mempertahankan tingkat ekonomi minyak bumi. Untuk meningkatkan nilai RF maka dilakukan operasi EOR yang mampu menghasilkan sekitar lebih dari 50% hingga 80% OOIP. Untuk mendapatkan nilai pemulihan yang optimal maka perlu dilakukan optimisasi terhadap variabel kondisi operasi CO2 EOR antara lain laju aliran massa injeksi CO2, temperatur injeksi CO2, dan tekanan injeksi CO2. Pemodelan pressure gradient operasi CO2 EOR pada production dan injection well menggunakan metode Begg’s-Brill sedangkan pada reservoir menggunakan persamaan Darcy. Untuk pemodelan temperature gradient pada production well, injection well, dan reservoir menggunakan persamaan perpindahan panas. Berdasarkan hasil optimisasi menggunakan Genetic Algorithm didapatkan peningkatan net profit dari 1,458.02 USD/hari menjadi 9,510.33 USD/hari. Sedangkan hasil optimisasi menggunakan KillerWhale Algorithm mendapatkan peningkatan net profit dari 1,458.02 USD/hari menjadi 9,509.71 USD/hari.===================================================================================================================================
Fossil fuel consumption continues to increase every year and the possibility to find new reserves will be increasingly difficult. It can be estimated that if the current rate of consumption and production continues, petroleum reserves will be depleted in 50 years. The increasing difficulty in finding new oil fields causes oil companies to try to increase the Recovery Factor value to maintain the economic level of oil. To increase the RF value, an EOR operation is carried out which is able to produce about more than 50% to 80% OOIP. To get the optimal recovery value, it is necessary to optimize the CO2 EOR operating condition variables, including mass flow rate of CO2 injection, CO2 injection temperature, and CO2 injection pressure. The modeling of the CO2 EOR operating pressure gradient in production and injection wells uses the Begg’s-Brill method, while the Darcy equation for reservoirs uses the Darcy equation. For modeling the temperature gradient on the production well, injection well, and reservoir using the heat transfer equation. Based on the optimization results using Genetic Algorithm, the net profit increased from 1,458.02 USD/day to 9,510.33 USD/day. While the optimization results using the KillerWhale Algorithm get an increase in net profit from 1,458.02 USD/day to 9,509.71 USD/day.

Item Type:	Thesis (Other)
Additional Information:	RSF 622.338 27 Isk o-1 2022
Uncontrolled Keywords:	CO2 EOR, Optimisasi, Genetic Algorithm, KillerWhale Algorithm. CO2 EOR, Optimization, Genetic Algorithm, KillerWhale Algorithm.
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis
Depositing User:	Mr. Marsudiyana -
Date Deposited:	11 May 2026 04:18
Last Modified:	11 May 2026 04:18
URI:	http://repository.its.ac.id/id/eprint/133117

Actions (login required)

View Item