Optimisasi Kondisi Operasi Pada Water Flooding Enhanced Oil Recovery

Pamungkas, Pandu Dwi (2018) Optimisasi Kondisi Operasi Pada Water Flooding Enhanced Oil Recovery. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Kebutuhan akan sumber daya energi dan mineral sangat dibutuhkan guna keberlangsungan kehidupan manusia. Salah satunya hasil mineral yang terkandung dalam perut bumi yaitu minyak mentah. Sumber daya alam minyak mentah masih menjadi prioritas utama kebutuhan sumber daya alam di indonesia. Sehingga perlu adanya eksplorasi dan eksploitasi sumber daya minyak mentah. Rata-rata produksi bulanan minyak mentah di indonesia masih mencapai 789.932 barrel per hari ditahun 2017, sedangkan target Anggaran Pendapatan dan Belanja Negara (APBN) berkisar 815 ribu berrel per hari. Metode Enhanced Oil Recovery (EOR) merupakan usaha tahap terakhir dalam meg-eksploitasi sumur-sumur tua yang masih mengandung minyak residu dalam reservoar. Ada beberapa media pengangkatan minyak residu dalam EOR salah satunya menggunakan air atau lebih dikenal dengan water flood operation EOR. Water flood operation EOR membagi tiga bagian dalam pemodelannya; injection well, reservoar dan production well, dimana pada reservoar menggunakan persamaan Darcy. Sedangkan pada injection dan production well menggunakan metode Fanning untuk memperoleh pressure drop sepanjang pipa yang dialiri fluida satu fasa. Hasil pemodelan divalidasi menggunakan PIPESIM dan COMSOL dan diperoleh rata-rata error sebesar 1,832827. Dari ketiga model tersebut diintegrasi untuk mengoptimalkan net profit menggunakan Genetic Algorithm (GA) pada water flood operation dari 2315,691 USD/hari menjadi 3755,842 USD/hari. Sedangkan untuk metode Particle Swarm Optimization (PSO) menghasilkan hasil optimum sebesar 3754,711 USD/hari. ================================================================================================================== The need for energy and mineral resources is needed for the survival of human life. One of the mineral products contained in the bowels of the earth is crude oil. Natural resources of crude oil are still the top priority of natural resource needs in Indonesia. Therefore, the need for exploration and exploitation of crude oil resources. The average monthly production of crude oil in Indonesia still reaches 789,932 barrels per day in 2017, while the State Budget target (APBN) is around 815 thousand berr per day. The Enhanced Oil Recovery (EOR) method is a last-ditch effort in exploiting old wells that still contain residual oil in the reservoir. There are some residual oil removal media in EOR one of them using water or better known as water flood operation. The water flood operation divides the three parts in the model; injection well, reserervoir and production well, which in reservoir use Darcy calculation. While in injection and production well use Fanning to obtain pressure drop along one-phase fluid pipeline. The modeling results were validated using PIPESIM and COMSOL and obtained an average error of 1.832827. Of the three models are integrated to optimize profit using Genetic Algorithm (GA) on water flood operation from 2315,691 USD / day to 3755,842 USD / day. Meanwhile, to find the results of optimization in order to increase the net profit of Particle Swarm Optimization (PSO) method produces an optimum yield of 3754,711 USD / day.

Item Type: Thesis (Undergraduate)
Additional Information: RSF 622.338 2 Pam o
Uncontrolled Keywords: fanning, darcy, genetic algorithm, particle sworm optimization, water flood
Subjects: T Technology > TJ Mechanical engineering and machinery > TJ935 Pipe--Fluid dynamics.
T Technology > TN Mining engineering. Metallurgy > TN879.5 Petroleum pipelines
Divisions: Faculty of Industrial Technology > Physics Engineering > 30201-(S1) Undergraduate Thesis
Depositing User: pandu -
Date Deposited: 02 Nov 2020 06:41
Last Modified: 02 Nov 2020 06:41
URI: http://repository.its.ac.id/id/eprint/59326

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