Identifikasi Zona Prospek Hidrokarbon Menggunakan Metode Scoring Anomali AVA Pada Lapangan "R" Shallow Zone, Kalimantan Timur

Perdana, Muhammad Reza (2021) Identifikasi Zona Prospek Hidrokarbon Menggunakan Metode Scoring Anomali AVA Pada Lapangan "R" Shallow Zone, Kalimantan Timur. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Interpretasi data seismik memiliki berbagai macam metode yang dapat digunakan sesuai dengan tujuannya masing-masing. Dalam penelitian ini digunakan metode scoring anomali amplitude versus angle (AVA) dalam mengidentifikasi zona prospek hidrokarbon dengan dua tahap screening yaitu screening DHI pada model amplitude full-angle stack dan screening anomali AVA. Anomali AVA didapatkan dari analisis AVA yang menggunakan respon amplitudo terhadap perubahan sudut pada data seismik yang berasosiasi dengan kehadiran fluida hidrokarbon pada reservoir. Metode scorinng dilakukan pada empat jenis data, yaitu data peta full-stack, data seismic section, data peta AVA pada lima sub-stack, dan data seismik gather. Penelitian ini dilakukan di lapangan “R” shallow zone, Kalimantan Timur dengan target reservoir dari zona very shallow hingga zona upper. Data yang digunakan pada penelitian ini yaitu data Seismik 3D Pre-Stack depth Migration terkoreksi, data sumur yang dilengkapi dengan data checkshot dan marker sekuen stratigrafi, serta hasil analisis AVA pada lapangan “R” shallow zone. Hasil dari penelitian ini yaitu terdapat 164 anomali dengan jumlah kategori low confidence sejumlah 44 anomali, kategori mid confidence sejumlah 92 anomali, dan kategori high confidence sejumlah 28 anomali. Berdasarkan korelasi anomali dengan data sumur, zona yang memiliki prospek hidrokarbon yaitu pada area crestal dengan presentase hidrokarbon pada kategori high confidence, mid confidence, dan low confidence masing-masing 100%, 86%, 100% dengan kategori yang memiliki presentase hidrokarbon tertinggi pada lapangan “R” shallow zone yaitu kategori high confidence dengan presentase 80%. Oleh karena itu, anomali-anomali yang terdapat pada zona prospek hidrokarbon yaitu anomali 0-2 C, 1-4 B, 1-11 C, 1-12 E, 2-5 C, 3-1 C, 3-5 B, 4-1 C.
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Seismic data interpretation has various methods that can be used according to their respective objectives. In this study, the amplitude versus angle (AVA) anomaly scoring method was used to identify the hydrocarbon prospect zone with two screening stages: DHI screening on the full-angle stack amplitude model and AVA anomaly screening. The AVA anomaly was obtained from the AVA analysis using the amplitude response to changes in the angle of the seismic data associated with the presence of hydrocarbon fluids in the reservoir. The scoring method was carried out on four types of data, namely full-stack map data, seismic section data, AVA map data on five sub-stacks, and seismic gather data. This research was conducted in the “R” shallow zone field, East Kalimantan with a reservoir target from the very shallow zone to the upper zone. The data used in this study are corrected 3D Pre-Stack Depth Migration Seismic data, well data equipped with checkshot data and stratigraphic sequence markers, and the results of AVA analysis in the "R" shallow zone field. The results of this study are 164 anomalies with a total of 44 anomalies in the low confidence category, in the mid confidence category with 92 anomalies, and the high confidence category with 28 anomalies. Based on the correlation of anomalies with the well data, the zone that has hydrocarbon prospects is in the crestal area with the percentage of hydrocarbons in the high confidence, mid confidence, and low confidence categories of 100%, 86%, 100%, respectively, with the category having the highest percentage of hydrocarbons in the “R” shallow zone field is a category of high confidence with a percentage of 80%. Therefore, the anomalies found in the hydrocarbon prospect zone are 0-2 C, 1-4 B, 1-11 C, 1-12 E, 2-5 C, 3-1 C, 3-5 B, 4-1 C.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Interpretasi data seismik, Amplitude Versus Angle (AVA), Scoring, Seismic data interpretation.
Subjects:	Q Science > QE Geology > QE538.5 Seismic tomography; Seismic waves. Elastic waves
Divisions:	Faculty of Civil, Planning, and Geo Engineering (CIVPLAN) > Geophysics Engineering > 33201-(S1) Undergraduate Thesis
Depositing User:	Muhammad Reza Perdana
Date Deposited:	27 Aug 2021 03:35
Last Modified:	27 Aug 2021 03:35
URI:	http://repository.its.ac.id/id/eprint/89641

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