Open AccessNew reservoirs prediction and production effects in the a Kutai Basin using the spectral decomposition method
Author(s) -
Afzalurrahman,
Abdul Haris,
Agus Riyanto
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/481/1/012053
Subject(s) - structural basin , amplitude , geology , matrix decomposition , decomposition , anomaly (physics) , fourier transform , lithology , reservoir modeling , spectral analysis , fourier analysis , seismology , petrology , petroleum engineering , mathematics , geomorphology , physics , spectroscopy , chemistry , mathematical analysis , eigenvalues and eigenvectors , organic chemistry , condensed matter physics , quantum mechanics
The reservoir prospect with the play sub-thrust fault concept is new in the Kutai Basin. The Kutai Basin is the widest and deepest tertiary sedimentary basin in Indonesia. This basin still has many potential hydrocarbon reservoirs that have not been discovered and must continue to be explored. Prospect evaluation is one of the important stages in hydrocarbon exploration. One of ways that can accommodate prediction of reservoir distribution prospects is spectral decomposition analysis method. Prediction of reservoir distribution prospects uses spectral decomposition. The purpose of integration, blending and coordinating some processes, of this analysis is to investigate the distribution of reservoirs and trap integrity by using Spectral Decomposition analysis. In this study, low-frequency zone analysis and amplitude anomalies were observed at low frequencies and compared with the amplitude at mid and high frequencies. Amplitude analysis is used to distinguish the possibility of lithology and its filling fluid. The amplitude anomaly is seen at low frequencies and disappears at high frequencies. The spectral decomposition methods used are Continuous Wavelet Transform (CWT), Short Term Fourier Transform (STFT) and Generalized Spectral Decomp (GSD). The results of the various processes are then compared to see new reservoirs and the effect of production.