PENENTUAN ZONA PERSEBARAN DAN KARAKTERISASI RESERVOAR BATUPASIR MENGGUNAKAN INVERSI MODEL BASED, MULTI LAYER FEED FORWARD NEURAL NETWORK, DAN SEISMIK ATRIBUT (ROOT MEAN SQUARE, SWEETNESS, ENVELOPE) PADA LAPANGAN “N” CEKUNGAN SUMATERA UTARA

SIDIQ, MIFTAH NADZAR (2022) PENENTUAN ZONA PERSEBARAN DAN KARAKTERISASI RESERVOAR BATUPASIR MENGGUNAKAN INVERSI MODEL BASED, MULTI LAYER FEED FORWARD NEURAL NETWORK, DAN SEISMIK ATRIBUT (ROOT MEAN SQUARE, SWEETNESS, ENVELOPE) PADA LAPANGAN “N” CEKUNGAN SUMATERA UTARA. Other thesis, UPN 'Veteran" Yogyakarta.

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Abstract

vi
ABSTRAK
PENENTUAN ZONA PERSEBARAN DAN KARAKTERISASI
RESERVOAR BATUPASIR MENGGUNAKAN INVERSI MODEL
BASED, MULTI LAYER FEED FORWARD NEURAL NETWORK,
DAN SEISMIK ATRIBUT (ROOT MEAN SQUARE, SWEETNESS,
ENVELOPE) PADA LAPANGAN “N” CEKUNGAN SUMATERA
UTARA
Oleh:
MIFTAH NADZAR SIDIQ
115180056
Cekungan Sumatera Utara memiliki karakteristik cekungan yang sangat
kompleks. Dengan produksi lebih dari 100 tahun, Cekungan Sumatera Utara adalah
salah satu cekungan sedimen paling produktif di Indonesia. Interpretasi kuantitatif
mengenai detail suatu reservoar hidrokarbon pada lapangan “N” Cekungan
Sumatera Utara dapat dijadikan sebagai referensi pengembangan lapangan
reservoar dan meningkatkan produksinya.
Penelitian ini bertujuan untuk mengetahui persebaran dan karakterisasi
reservoar sandstone pada lapangan “N”, serta penentuan zona interest hidrokarbon
sebagai lokasi sumur pengembangan selanjutnya berdasarkan analisa seismik
inversi model based, multiatribut multi-layer feed forward neural network (MLFN),
dan seismik atribut (root mean square, sweetness, envelope). Penenlitian ini akan
berfokus pada Formasi Keutapang, Lapangan “N” Cekungan Sumatera Utara.
Berdasarkan analisis data log, seismik inversi model based, multiatribut,
dan seismik atribut didapatkan bahwa persebaran reservoar sandstone Formasi
Keutapang memiliki respon berupa low gamma ray, low density, high acoustic
impedance, dan high amplitude dengan arah persebaran berasal dari barat daya
menuju arah timur laut. Serta memiliki 3 zona interest hidrokarbon yang berdekatan
dengan sumur ekplorasi NZ-C dan pada struktural tinggian bagian selatan wilayah
penelitian yang dibatasi struktur patahan yang menjadi jalur migrasi fluida
hidrokarbon.
Kata kunci : Inversi Model Based, Multi Atribut MLFN, Reservoar Sandstone,
Seismik Atribut.
vii
ABSTRACT
DETERMINATION OF DISTRIBUTION ZONE AND
CHARACTERIZATION OF SANDSTONE RESERVOIR USING
INVERSION MODEL BASED, MULTI LAYER FEED FORWARD
NEURAL NETWORK, AND SEISMIC ATTRIBUTES (ROOT MEAN
SQUARE, SWEETNESS, ENVELOPE) IN “N” FIELD NORTH
SUMATRA BASIN
MIFTAH NADZAR SIDIQ
115180056
The North Sumatra Basin has very complex basin characteristics. With
more than 100 years of production, the North Sumatra Basin is one of the most
productive sedimentary basin in Indonesia. Quantitative interpretation of the
details of a hydrocarbon reservoir in the "N" field of the North Sumatra Basin can
be used as a reference for developing reservoir fields and increasing production.
This study aims to determine the distribution and characterization of the
sandstone reservoir in the "N" field, as well as to determine the hydrocarbon
interest zone as the location of further development wells based on inversion model
based, multi attribute multi-layer feed forward neural network (MLFN), and
attribute seismic (root mean square, sweetness, envelope). This research will focus
on the Keutapang Formation, Field "N" North Sumatra Basin.
Based on the analysis of log data, seismic inversion model-based, multi�attribute, and attribute seismic, it is found that the distribution of the Keutapang
Formation sandstone reservoir has a response in the form of low gamma ray, low
density, high acoustic impedance, and high amplitude with the direction of the
distribution coming from southwest to northeast. As well as having 3 zones of
hydrocarbon interest adjacent to the NZ-C exploration well and in the structural
elevation of the southern part of the study area which is limited by a fault structure
which is the migration path of hydrocarbon fluids.
Keywords : Model Based Inversion, Multi Attribute MLFN, Sandstone Reservoir,
Seismic Attributes

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Model Based Inversion, Multi Attribute MLFN, Sandstone Reservoir, Seismic Attributes
Subjects:	Q Science > QE Geology
Divisions:	Faculty of Engineering, Science and Mathematics > School of Engineering Sciences
Depositing User:	Eko Yuli
Date Deposited:	19 Sep 2022 03:15
Last Modified:	19 Sep 2022 03:15
URI:	http://eprints.upnyk.ac.id/id/eprint/30955

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