Identifikasi Persebaran Litologi Reservoir Menggunakan Analisis Multi-Atribut Seismik pada Lapangan Stratton, Texas Selatan

Abigail, Nathasya (2017) Identifikasi Persebaran Litologi Reservoir Menggunakan Analisis Multi-Atribut Seismik pada Lapangan Stratton, Texas Selatan. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Telah dilakukan penelitian interpretasi multi-atribut seismik di lapangan Stratton, Texas Selatan yang bertujuan untuk mengidentifikasi persebaran litologi reservoir di lapangan tersebut. Penelitian ini menggunakan data seismik post-stack 3D Lapangan Stratton di Texas Selatan, Amerika Serikat dan data sumur berupa log densitas, P-wave dan Gamma Ray. Data seismik dan data sumur yang ada diikat melalui kegiatan well-seismic tie kemudian dianalisis pada formasi Upper Frio dan Middle Frio menggunakan analisis multi-atribut. Korelasi multi-atribut yang diperoleh sebesar 0.286187. Atribut-atribut yang ada kemudian digunakan dalam pengolahan Probabilistic Neural Network (PNN) hingga didapati nilai korelasi sebesar 0.669705. Dari volume PNN tersebut dibuat peta slice yang dapat menyajikan persebaran litologi zona target dimana nilai korelasi peta pada formasi Upper Frio bernilai 0.600798 dan nilai korelasi peta pada formasi Middle Frio bernilai 0.939401. Dari kedua target yang dianalisis dapat diketahui bahwa keduanya memiliki persebaran litologi didominasi batuan pasir. =============================================================================================== A research about interpretation of seismic multi-attribute in Stratton Field, South Texas has been done. This research aims to identify a distribution of reservoir lithology in that field. It uses seismic data which is post-stack 3D Stratton Field data in South Texas, USA and log data such as density log, P-wave log, and Gamma Ray log. Both seismic and well data are tied by well-seismic tie before being analyzed at Upper and Middle Frio formation using multi-attribute seismic analysis. The research derives 0.286187 multi-attribute correlation and the attributes then being used in Probabilistic Neural Network (PNN) processing until derive 0.669705 PNN correlation. PNN volume then being used to make slice map which will show a distribution of lithology at the target zone. The correlation of Upper Frio slice map is 0.600798, while the correlation of the Middle Frio one is 0.939401. Both Upper and Middle Frio map show that they have a distribution of lithology with sandstone-dominated.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Analisis multi-atribut, persebaran litologi, lapangan Stratton
Subjects: Q Science > QE Geology > QE601 Geology, Structural
Divisions: Faculty of Civil Engineering and Planning > Geophysics Engineering > 33201-(S1) Undergraduate Thesis
Depositing User: NATHASYA ABIGAIL
Date Deposited: 15 Nov 2017 07:05
Last Modified: 05 Mar 2019 07:59
URI: http://repository.its.ac.id/id/eprint/43364

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