Analisis Perbandingan Metode Inversi Seismik Impedansi Akustik Dengan Variasi Wavelet Untuk Karakterisasi Reservoir Lapangan "BGN" Pada Cekungan Nias

Pradana, Adiesta Rifqi (2021) Analisis Perbandingan Metode Inversi Seismik Impedansi Akustik Dengan Variasi Wavelet Untuk Karakterisasi Reservoir Lapangan "BGN" Pada Cekungan Nias. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Terdapat beberapa permasalahan dalam karakterisasi reservoir, salah satunya adalah perbandingan metode inversi seismik manakah yang baik dalam menghasilkan penampang inversi guna interpretasi reservoir lebih lanjut. Penelitian ini bertujuan untuk mengkarakterisasi reservoir menggunakan perbandingan metode inversi seismik impedansi akustik (AI) dengan variasi wavelet. Penelitian ini dilakukan di lapangan “BGN” wilayah Cekungan Nias, lepas pantai barat pulau Sumatera. Data yang digunakan pada penelitian ini berupa data seismik 2D post-stack migration, masing-masing 1 buah data checkshot, marker, top, horizon, dan well serta geologi regional pada lapangan “BGN” wilayah Cekungan Nias. Hasil dari penelitian ini adalah model reservoir yang dihasilkan menggunakan metode Model Based dengan menerapkan wavelet hasil dari ekstraksi Statistical merupakan model reservoir terbaik dengan nilai korelasi paling tinggi yakni 0.998636. Zona prospek hidrokarbon diasumsikan terdapat pada lapisan berumur Late Miocene – Middle Miocene dengan kedalaman 5040 ft hingga 5240 ft yang memiliki range nilai impedansi akustik antara 12.500 ft/s*g/cc hingga 24.100 ft/s*g/cc dan nilai porositas antara 42% hingga 60%, dimana lapisan pada kedalaman tersebut tersusun atas karbonat Porous. Sedangkan zona reservoir karbonat diasumsikan terdapat pada lapisan dengan umur yang sama, namun teridentifikasi pada kedalaman 4700 ft hingga 5040 ft dan 5240 ft hingga 5500 ft, dengan range nilai impedansi akustik antara 25.700 ft/s*g/cc hingga 40.600 ft/s*g/cc dan range nilai porositas antara 15% hingga 40%.
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There are several problems in reservoir characterization, one of them is the comparison between many seismic inversion methods and which one of those are good in producing an inversion cross-section for further reservoir interpretation. This study aims to characterize the reservoir using the comparison of the acoustic impedance seismic inversion (AI) method with the wavelet variation. This research was conducted in the “BGN” field in the Nias Basin, off the west coast of the island of Sumatra. The data used in this study are 2D post-stack migration seismic data, each of it contains one checkshot, marker, top, horizon, and well data as well as regional geology in the "BGN" field in the Nias Basin. The result of this research shows that the reservoir model generated using Model Based inversion method by applying the wavelet results from Statistical extraction method is the best reservoir model with the highest correlation value of 0.998636. The hydrocarbon prospect zone is assumed to be in thelayer Late Miocene – Middle Miocene with a depth of 5040 ft to 5240 ft which has a range of acoustic impedance values between 12,500 ft/s*g/cc to 24,100 ft/s*g/cc and porosity values between 42% to 60%, where the layer at that depth is composed ofcarbonate Porous. While the carbonate reservoir zone is assumed to be in layers of the same age, but identified at depths of 4700 ft to 5040 ft and 5240 ft to 5500 ft, with range an acoustic impedance value between 25,700 ft/s*g/cc to 40,600 ft/s*g/cc and range the porosity values between 15% to 40%.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Inversi Seismik, Wavelet, Impedansi Akustik, dan Karakterisasi Reservoir, Seismic Inversion, Acoustic Impedance, and Reservoir Characterization
Subjects:	Q Science > QE Geology > QE538.5 Seismic waves. Elastic waves Q Science > QE Geology > QE539.2 Seismic traveltime inversion
Divisions:	Faculty of Civil, Planning, and Geo Engineering (CIVPLAN) > Geophysics Engineering > 33201-(S1) Undergraduate Thesis
Depositing User:	Adiesta Rifqi Pradana
Date Deposited:	25 Aug 2021 07:49
Last Modified:	25 Aug 2021 07:49
URI:	http://repository.its.ac.id/id/eprint/89632

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