Analysis Of Carbonate Distribution In 'Moira' Field, Kutai Basin, Offshore East Kalimanantan With The Use Of Spectral Decomposition Method With Frequency Attributes

Lengkong, Karel Paul (2024) Analysis Of Carbonate Distribution In 'Moira' Field, Kutai Basin, Offshore East Kalimanantan With The Use Of Spectral Decomposition Method With Frequency Attributes. Other thesis, Institut Teknologi Sepuluh Nopember.

[thumbnail of 5017201053-Undergraduate_Thesis.pdf] Text
5017201053-Undergraduate_Thesis.pdf - Accepted Version
Restricted to Repository staff only until 1 October 2026.

Download (4MB) | Request a copy

Abstract

The seismic method has certain limitations. When layers have a thickness below the tuning thickness, amplitude stacking can occur, leading to interpretation errors. Spectral decomposition attributes can help break down seismic data into its constituent frequencies. This study was conducted in the 'MOIRA' field located in The Kutai Basin, offshore East Kalimantan. Other data used in this research includes well data from Marindan-1,. The application yielded a correlation result of 0.704 using a Ricker wavelet with a dominant frequency of 17.6 Hz and a wavelet length of 201 ms. The horizon of interest is located at a depth of 1410 ms to 1640 ms. Spectral decomposition frequency attributes were processed using the Continuous Wavelet Transform (CWT) method to map the distribution of carbonate rocks in the horizon. The dominant frequencies identified from the statistical wavelet are 10 Hz, 20 Hz, and 34 Hz. These frequencies were then used in blending with the horizon probe. The study concluded that there are many thick carbonate layers, indicated by the dominant presence of the low-frequency color red on the horizon map.
=================================================================================================================================
Metode seismik memiliki batasan tertentu dimana apabila terdapat lapisan yang memiliki ketebalan dibawah tuning thickness makan dapat terjadi penumpukan amplitudo dan dapat menyebabkan kesalahan pada interpretasi. Atribut dekomposisi spektral dapat berguna dalam memecah suatu data seismik dari frekuensi-frekuensi pembentuknya. Penelitian ini dilaksanakan pada lapangan ‘MOIRA’ yang terletak di cekungan Kutai, lepas pantai Kalimantan Timur. Data lain yang digunakan dalam penelitian ini adalah data sumur, Marindan-1. Dari aplikasi tersebut didapatkan hasil korelasi 0.704 dengan ricker wavelet yang memiliki frekuensi dominan 17.6 Hz dan Panjang Wavelet Sebesar 201 ms. Horizon yang menjadi zona interest terletak pada kedalaman 1410 ms – 1640 ms. Pemecahan atribut frekuensi dekomposisi spektral dilaksanakan dengan metode Continuous Wavelet Transform (CWT) untuk memetakan persebaran batuan karbonat pada horizon. Dari statistical wavelet didapatkan frekuensi dominan yang digunakan yaitu 10 Hz, 20 Hz, dan 34 Hz. Frekuensi tersebut kemudian digunakan dalam blending dengan horizon probe Dari penelitian ini dapat disimpulkan bahwa terdapat banyak persebaran lapisan karbonat yang tebal ditandai dengan keberadaan dominan warna frekuensi rendah yaitu merah pada horizon pinkhor.

Item Type: Thesis (Other)
Uncontrolled Keywords: Continuous Wavelet Transform, Distribution Analysis, Frequency Attribute, Spectral Decomposition,,Analisis Distribusi, Atribut Frekuensi, Dekomposisi Spektral,
Subjects: Q Science > QE Geology > QE539.2.S4 Seismic models
T Technology > TN Mining engineering. Metallurgy > TN269 Prospecting--Geophysical methods
Divisions: Faculty of Civil, Planning, and Geo Engineering (CIVPLAN) > Geophysics Engineering > 33201-(S1) Undergraduate Thesis
Depositing User: Karel Paul Lengkong
Date Deposited: 16 Aug 2024 04:03
Last Modified: 16 Aug 2024 04:03
URI: http://repository.its.ac.id/id/eprint/115191

Actions (login required)

View Item View Item