Optimisasi Kondisi Operasi CO2 Enhanced Oil Recovery: Studi Kasus Reservoir El Morgan Oil Field, Gulf Of Suez, Egypt

Masruri, Achmad Nadif (2022) Optimisasi Kondisi Operasi CO2 Enhanced Oil Recovery: Studi Kasus Reservoir El Morgan Oil Field, Gulf Of Suez, Egypt. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Minyak dan gas merupakan sumber energi yang mengalami pertumbuhan paling cepat diantara sumber energi yang lainnya. Proses pemulihan minyak dapat dibagi menjadi tiga tahap pemulihan yaitu primary oil recovery, secondary recovery dan tertiary recovery atau biasa disebut Enhanced oil recovery (EOR). Enhanced oil recovery (EOR) merupakan teknik pemulihan minyak digunakan untuk memulihkan sisa minyak yang tidak dapat diperoleh kembali dengan menggunakan waterflooding. Menurut Departemen energi US metode recovery dengan jenis tertiary memiliki keberhasilan hingga 75%. EOR juga membantu mengurangi emisi CO2. Namun untuk mendapatkan hasil yang optimal CO2 EOR diperlukan beberapa parameter yang harus dioptimisasi seperti laju aliran massa, tekanan dan temperatur injeksi. Untuk membuat model penurunan tekanan pada CO2 EOR digunakan berberapa persamaan antara lain persamaan Begg’s-brill untuk model pada injection well dan production well, sedangkan persamaan Darcy digunakan untuk model pada reservoir. Berdasarkan hasil optimisasi menggunakan Genetic algorithm dan Particle swarm optimization didapatkan peningkatan keuntungan masing-masing sebesar 97.4782% dan 97.478% dengan kenaikan dari 994.2268 USD/hari menjadi 39425.92 USD/hari untuk Genetic algorithm dan 994.2268 USD/hari menjadi 39422.95 USD/hari untuk Particle swarm optimization (PSO).
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Oil and gas are energy sources that experience the fastest growth among other energy sources. The oil recovery process can be divided into three recovery stages, namely primary oil recovery, secondary recovery and tertiary recovery or commonly called Enhanced oil recovery (EOR). Enhanced oil recovery (EOR) is an oil recovery used to recover residual oil that cannot be recovered by using waterflooding. According to the US Department of Energy, the tertiary recovery method has a successful recovery factor of up to 75%. EOR also helps reduce CO2 emissions. However, to get optimal results for CO2 EOR, several parameters must be optimized, such as mass flow rate, injection pressure and temperature. To create a pressure drop model for CO2 EOR, several equations are used, including the Begg’s-brill equation for the injection well model, the Darcy equation for the reservoir model and the Begg’s-brill equation for the production well model. Based on the optimization results using Genetic algorithm and Particle swarm optimization, it was found that the profit increased by 97.4782% and 97.478%, respectively, with an increase from 994.2268 USD/hari to 39425.92 USD/day for Genetic algorithm and 994.2268 USD/hari to 39422.95 USD/day for Particle Swarm. optimization (PSO).

Item Type:	Thesis (Other)
Additional Information:	RSF 665.5 Mas o-1 2022
Uncontrolled Keywords:	Optimization, Enhanced oil recovery, Genetic algorithm, Particle swarm optimization (PSO)
Subjects:	Q Science > QA Mathematics > QA402.5 Genetic algorithms. T Technology > TD Environmental technology. Sanitary engineering > TD883.5 Air--Pollution
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis
Depositing User:	Anis Wulandari
Date Deposited:	05 Jul 2024 03:31
Last Modified:	05 Jul 2024 03:31
URI:	http://repository.its.ac.id/id/eprint/108132

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