Priadi, R. Sunni Nugraha (2021) Implementasi Metode AHP Dan TOPSIS Untuk Screening Teknik Enhanced Oil Recovery Non Simulasi Pada Lapangan “X” Dan “Y”. Masters thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Lapangan X dan Y termasuk di antara lapangan minyak di cekungan Jawa. Seiring dengan penurunan produksi minyak akibat kegiatan eksploitasi di lapangan X dan Y, maka perlu dilakukan kegiatan untuk meningkatkan produksi. Untuk meningkatkan produksi minyaknya, diperlukan teknologi Enhanced Oil Recovery (EOR). Analisis screening teknik Enhanced oil recovery (EOR) perlu dilakukan pada tahap awal studi kelayakan proyek EOR. Saat ini, tidak ada metode yang sepenuhnya mapan untuk mengidentifikasi kandidat potensial untuk teknik EOR. Pendekatan yang paling umum untuk memilih teknik EOR adalah penyaringan konvensional, yang umumnya didasarkan pada coba-coba "go-no go", dengan peluang keberhasilan yang lebih kecil. Selain itu, penentuan kandidat potensial untuk teknik EOR seringkali menggunakan pendekatan simulasi reservoir, namun hal ini memakan waktu dan membutuhkan biaya tinggi dalam menggunakan lisensi perangkat lunak. Screening teknik EOR dengan metode yang menjelaskan bagaimana membentuk model pengambilan keputusan multi kriteria dengan kombinasi metode AHP dan TOPSIS secara bersama-sama sebagai metode yang sistematis dan terukur untuk mendapatkan teknik EOR terbaik pada lapangan X dan Y.
Hasil penelitian menemukan bahwa Teknik CO2 Immiscible paling sesuai untuk teknik EOR yang diaplikasikan pada lapangan X dan Y karena memiliki nilai preferensi tertinggi (0.676), kemudian disusul teknik Micellar (nilai preferensi 0.645) dan HC Immiscible (nilai preferensi 0.517). Dengan teknik pengambilan keputusan multikriteria diperoleh hasil teknik EOR terbaik. Usulan tersebut dapat memberikan rekomendasi yang berguna bagi manajemen perusahaan untuk meningkatkan produksi di lapangan X dan Y dengan metode yang lebih cepat, akurat, dan murah dibandingkan dengan metode simulasi reservoir yang memiliki waktu proses lebih lama dan biaya lebih mahal.
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The X and Y fields are among the oil fields in the Java basin. As oil production decreases due to exploitation activities in X and Y fields, it is necessary to carry out activities to increase production. To increase the yield of its oil production, Enhanced Oil Recovery (EOR) technology is needed. Enhanced oil recovery (EOR) technique screening analysis is needed to be carried out at the initial stage of the feasibility study in the EOR project. At present, there is no fully established method for identifying potential candidates for the EOR technique. The most common approach for selecting EOR techniques is conventional filtering, which is generally based on the "go-no go" trial and error, with a reduced chance of success. Besides, determining potential candidates for EOR techniques often uses a reservoir simulation approach, but this is time-consuming and requires high costs in using the software license. EOR technique screening with a method that explains how to form a multi-criteria decision-making model with a combination of AHP and TOPSIS methods together as a systematic and measurable method to get the best EOR techniques in both X and Y fields.
The research results found that the CO2 Immiscible Technique was the most appropriate for EOR in fields X and Y because it has the highest preference value (0.676), is then followed by the Micellar technique (preference value 0.645) and HC Immiscible (preference value 0.517). With the multi-criteria decision-making technique, the best EOR technique results are obtained. Then the proposal can provide valuable recommendations for company management in both fields X and Y with a faster, accurate, and inexpensive method compared to the reservoir simulation method, which has a longer processing time and more expensive costs.
Item Type: | Thesis (Masters) |
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Uncontrolled Keywords: | Enhanced Oil Recovery, MCDM, DELPHI, AHP, TOPSIS. |
Subjects: | T Technology > T Technology (General) T Technology > TP Chemical technology |
Divisions: | Faculty of Creative Design and Digital Business (CREABIZ) > Technology Management > 61101-(S2) Master Thesis |
Depositing User: | R. Sunni Nugraha Priadi |
Date Deposited: | 12 Jul 2021 03:10 |
Last Modified: | 12 Jul 2021 03:10 |
URI: | http://repository.its.ac.id/id/eprint/84309 |
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