Kuncoro, Fajar Dwi (2019) Optimisasi Kondisi Operasi Pada Control Drilling Dengan Konsep Plant Wide Control. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Drilling merupakan suatu kegiatan yang harus dilakukan untuk memproduksi sumber daya minyak dan gas dari dalam bumi. Pada proses drilling perlu memerhatikan berbagai hal demi menjaga kelancaran dan keamanan produksi. Optimisasi dan sistem kontrol dalam proses drilling ini menggunakan kesetimbangan massa untuk memaksimalkan rate of penetration (ROP) dan dipilih variabel-variabel yang memengaruhi untuk dioptimisasi. Pada kasus ini digunakan metode optimisasi algoritma stokastik seperti Duelist Algorithm (DA), Killer Whale Algorithm (KWA), dan Rain Water Algorithm (RWA). Optimisasi dilakukan pada 5 variabel, yaitu weight on bit (WOB), rotary speed, mud flow rate, pressure choke, dan mud density dengan hasil optimisasi DA berturut-turut sebesar 8,5447 ton, 105,3128 RPM, 49,4942 l/s, 0,4266 bar, dan 415,6926 km/m3 dengan nilai fungsi objektif 12,6741 m/jam. Pada optimisasi KWA dihasilkan nilai 5 variabel diatas berturut-turut sebesar 18,1253 ton, 147,4794 RPM, 50,0000 l/s, 0,0010 bar, dan 415,2012 km/m3 dengan nilai fungsi objektif 12,9367 m/jam. Pada optimisasi RWA didapatkan nilai fungsi objektif sebesar 6,1919e-6 m/jam. Berdasarkan nilai ROP yang telah dioptimisasi tersebut, nilai drilling cost minimal di dapat dengan menggunakan nilai ROP dari optimisasi KWA. Hasil rancangan PWC setelah penambahan kontroler feedforward mampu mengatasi gangguan akibat Pbit turun.
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Drilling is an activity that must be carried out to produce oil and
gas resources from within the earth. The drilling. In the drilling
process it is necessary to pay attention to various things in order
to maintain smoothness and production. Optimization and control
system in this drilling process uses mass equilibrium to maximize
the rate of penetration (ROP) and variables that influence
variables to be optimized. In this case, a stochastic algorithm
optimization method such as duelist algorithm (DA), killer whale
algorithm (KWA), and rain water algorithm (RWA) are used.
Optimization was carried out on 5 variables, namely weight on
bit (WOB), rotary speed, mud flow rate, pressure choke, and mud
density with DA optimization results respectively 8,5447 tons,
105,3128 RPM, 49,4942 l / s, 0,4266 bar, and 415,6926 km/m3
with an objective function value of 12,6741 m/hour. In the KWA
optimization, the values of the 5 variables above are 18,1253
tons, 147,4794 RPM, 50,0000 l/s, 0,0010 bar, and 415,2012
km/m3 respectively with an objective function value of 12,9367
m/hour. In the RWA optimization, the values of objective function
is 6,1919e-6 m/hour. Based on the optimized ROP value, the
minimum drilling cost value is obtained using the ROP value of
DA optimization. The PWC design after the addition of
feedforward controller are able to overcome the interface caused
by downturn of Pbit.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Additional Information: | RSF 622.338 1 Kun o-1 2019 |
| Uncontrolled Keywords: | Drilling, Optimisasi, DA, KWA, RWA, PWC |
| Subjects: | Q Science > QC Physics T Technology > TN Mining engineering. Metallurgy |
| Divisions: | Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis |
| Depositing User: | Fajar Dwi Kuncoro |
| Date Deposited: | 05 Apr 2022 02:06 |
| Last Modified: | 05 Apr 2022 02:06 |
| URI: | http://repository.its.ac.id/id/eprint/62232 |
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