ANALISA DAN PENGOLAHAN DATA PRA MODELLING UNTUK SIMULASI RESERVOIR LAPANGAN “ABS”

Susanto, Andhika Bagaskara (2025) ANALISA DAN PENGOLAHAN DATA PRA MODELLING UNTUK SIMULASI RESERVOIR LAPANGAN “ABS”. Skripsi thesis, UPN Veteran Yogyakarta.

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Abstract

ABSTRAK
ANALISA DAN PENGOLAHAN DATA PRA
MODELLING UNTUK SIMULASI RESERVOIR
LAPANGAN “ABS”
Oleh
Andhika Bagaskara Susanto
NIM: 113200106
(Program Studi Sarjana Teknik Perminyakan)
Lapangan “ABS” mulai berproduksi pada Januari 1998 menggunakan metode
natural flow dengan produksi awal 5.000 bopd dan kadar air 0%. Produksi tertinggi
terjadi pada Oktober–November 1998 sebesar 21.000 bopd, kemudian menurun
sejak Oktober 1999 hingga hanya menghasilkan 0,25 MMSTB pada tahun 2022.
Dari 26 sumur, 11 masih aktif dan 4 digunakan sebagai sumur injeksi. Dengan
OOIP sebesar 157 MMSTB dan recovery factor 25,8% per Desember 2023.
Penelitian ini berfokus pada analisis dan pengolahan data numerik seperti data
tekanan, permeabilitas, tekanan kapiler, dan produksi. Pengolahan data RCAL
menggunakan metode sortasi permeabilitas dan Flow Zone Indicator, disertai
proses normalisasi dan denormalisasi pada data SCAL. Tekanan kapiler dianalisis
menggunakan persamaan Leverett J-Function. Proses PVT Matching dilakukan
dengan software PVTi. Drive mechanism Lapangan “ABS” diidentifikasi
berdasarkan interpretasi Ganesh Thakur.
Penelitian ini mengklasifikasikan rock type di Lapangan "ABS" menggunakan
metode Flow Zone Indicator (FZI) dan sortasi permeabilitas. Rock Type 1
menunjukkan kualitas terbaik dengan porositas dan permeabilitas tinggi, tekanan
kapiler rendah, serta konektivitas pori yang baik. Seluruh rock type menunjukkan
sifat kebasahan oil-wet dengan crossover point 0,35. Metode FZI lebih akurat untuk
reservoir heterogen karena mempertimbangkan karakteristik fluida dan geologi
secara numerik. Analisis PVT menunjukkan fluida bersifat minyak ringan, dengan
dominasi komponen C7+. Drive mechanism Lapangan “ABS” adalah water influx.
Estimasi tekanan reservoir tahun 2023 sebesar 851.8 psi dihitung melalui proyeksi
trendline dari data historis. Hasil ini berguna untuk history matching, simulasi
reservoir, dan perencanaan pengembangan berbasis data.
Kata kunci: drive mechanism, oil-wet, rock type, water-wet
ABSTRACT
PRE-MODELLING DATA ANALYSIS AND PROCESSING FOR
RESERVOIR SIMULATION OF THE "ABS" FIELD
By
Andhika Bagaskara Susanto
NIM: 113200106
(Petroleum Engineering Undergraduated Program)
The “ABS” Field began production in January 1998 using natural flow, with an
initial rate of 5,000 BOPD and 0% water cut. Peak production occurred in
October–November 1998, reaching 21,000 BOPD, but declined steadily from
October 1999, producing only 0.25 MMSTB by 2022. Out of 26 wells, 11 remain
active, and 4 are used for injection. As of December 2023, the field has an OOIP of
157 MMSTB and a recovery factor of 25.8%.
This study focuses on the analysis and processing of numerical data such as
pressure, permeability, capillary pressure, and production data. RCAL data
processing uses permeability sorting and the Flow Zone Indicator method,
accompanied by normalization and denormalization processes in SCAL data.
Capillary pressure is analyzed using the Leverett J-Function equation. The PVT
matching process is conducted using PVTi software. The drive mechanism of the
“ABS” field is identified based on the interpretation by Ganesh Thakur.
This study classifies rock types in the “ABS” Field using the Flow Zone Indicator
(FZI) method and permeability sorting. Rock Type 1 exhibits the best quality, with
high porosity and permeability, low capillary pressure, and good pore connectivity.
All rock types exhibit oil-wet characteristics, with a crossover point of 0.35. The
FZI method is more accurate for heterogeneous reservoirs, as it considers fluid and
geological properties numerically. PVT analysis indicates the fluid is light oil,
dominated by C7+ components. The drive mechanism in the ABS Field is water
influx. Reservoir pressure in 2023 is estimated at 851.8 psi, calculated through
trendline projection of historical data. These results are valuable for history
matching, reservoir simulation, and data-driven development planning.
Keywords: drive mechanism, oil-wet, rock type, water-wet

Item Type: Tugas Akhir (Skripsi)
Uncontrolled Keywords: drive mechanism, oil-wet, rock type, water-wet
Subjek: T Technology > T Technology (General)
Divisions: Fakultas Teknologi Mineral dan Energi > (S1) Teknik Perminyakan
Depositing User: Eko Yuli
Date Deposited: 11 Nov 2025 02:49
Last Modified: 11 Nov 2025 02:51
URI: http://eprints.upnyk.ac.id/id/eprint/45375

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