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EVALUASI DAN OPTIMASI SUCKER ROD PUMP DENGAN TIPE PENGGERAK HIDROLIK PADA SUMUR A-21 LAPANGAN F Karyo, Faiz Dwinanda; Oetomo , Hari Karyadi; Rahmawan , Sigit
Scientica: Jurnal Ilmiah Sains dan Teknologi Vol. 2 No. 9 (2024): Scientica: Jurnal Ilmiah Sains dan Teknologi
Publisher : Komunitas Menulis dan Meneliti (Kolibi)

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Abstract

Penelitian ini berfokus pada evaluasi dan optimasi Sucker Rod Pump (SRP) dengan tipe penggerak hidrolik pada sumur A-21 di lapangan F. Tujuan utama penelitian adalah untuk mengevaluasi efisiensi volumetris pompa dan mengoptimalkan laju produksi. Metodologi yang digunakan meliputi analisis data lapangan, perhitungan tekanan statis dan tekanan alir dasar sumur, serta penggunaan metode Composite IPR untuk menentukan laju produksi maksimum. Hasil evaluasi menunjukkan bahwa sumur A-21 memiliki efisiensi volumetris sebesar 62,92%, yang mengindikasikan ketidakefisienan pompa. Optimasi dilakukan dengan mengubah panjang langkah pompa (S) dan kecepatan pompa (N). Setelah optimasi, dengan menggunakan panjang langkah 110 in dan kecepatan pompa 7,8 SPM, laju produksi meningkat dari 87,65 bfpd menjadi 360 bfpd, dengan peningkatan sebesar 272,35 bfpd. Efisiensi volumetris juga meningkat menjadi 74%. Penelitian ini mendemonstrasikan efektivitas optimasi SRP dalam meningkatkan produksi minyak pada sumur yang mengalami penurunan tekanan reservoir.
MENENTUKAN MINIMUM MISCIBLE PRESSURE CO2 FLUIDA RESERVOIR LAPANGAN C SUMUR D MENGGUNAKAN APLIKASI CMG Danera, Furqanorifki El; Hartono , Kartika Fajarwati; Oetomo , Hari Karyadi
Scientica: Jurnal Ilmiah Sains dan Teknologi Vol. 2 No. 9 (2024): Scientica: Jurnal Ilmiah Sains dan Teknologi
Publisher : Komunitas Menulis dan Meneliti (Kolibi)

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Abstract

Determining the Minimum Miscible Pressure (MMP) is a crucial step in planning and implementing Enhanced Oil Recovery (EOR) projects using CO2 injection. This study aims to determine the MMP value using the multiple contact method with a multiple mixing-cell calculation system in CMG WinProp software. This approach offers advantages in terms of time and cost efficiency compared to conventional experimental methods. The methodology involves modeling reservoir fluid using the Equation of State (EOS), followed by a PVT matching process. The accuracy of the EOS model is validated by comparing WinProp simulation results against laboratory test data, focusing on differential liberation and constant composition expansion. This matching process aims to minimize the margin of error between simulation results and experimental data. The research results the Minimum Miscible Pressure is identified at 2718.9 psia. These findings provide valuable insights into the pressure conditions required to achieve miscibility between CO2 and oil reservoir.
Deliverability Test Analysis on Gas Well YA-01 Ristawati, Arinda; Ginting, Mulia; Kaynes , Jasmine Ghina; Prapansya , Onnie Ridaliani; Oetomo , Hari Karyadi
Jurnal Migasian Vol 8 No 2 (2024): Jurnal Migasian
Publisher : LPPM Institut Teknologi Petroleum Balongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36601/jm.v8i2.316

Abstract

Deliverability tests are used to evaluate a well's production capability by estimating the Absolute Open Flow Potential (AOFP) and maximum flow rate. The three main methods applied are the Flow-after-flow Test, Isochronal Test, and Modified Isochronal Test. For the YA-01 gas well, the Flow-after-flow Test was used, which involves steps such as data compilation, plotting, calculation of the inverse slope (n), and determination of the AOFP and maximum flow rate (Qmax). Software analysis results indicated an inverse slope (n) of 1.19226, a C value of 0.000000418 MSCFD/psia², an AOFP of 12,930 MSCFD, and a Qgmax of 3,879 MSCFD. For verification, a manual analysis using the Rawlins-Schellhardt and Horner methods with a pseudo-pressure approach was conducted, yielding an AOFP value of 12,850 MSCFD. The combination of software and manual results provides a comprehensive and accurate understanding of the well conditions, supporting production optimization decisions and evaluating the effectiveness of the acidizing process.