#TITLE_ALTERNATIVE#

Abstract: <br /> <br /> <br /> <br /> <br /> <br /> <br /> Seismic signals are commonly non-stationary in nature. It means that amplitude and frequency contents vary with time depending on the medium it propagates. Therefore, it is better to utilize...

Full description

Saved in:
Bibliographic Details
Main Author: Dasa Marianto (NIM 124 03 012), Farid
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/7877
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Institut Teknologi Bandung
Language: Indonesia
Description
Summary:Abstract: <br /> <br /> <br /> <br /> <br /> <br /> <br /> Seismic signals are commonly non-stationary in nature. It means that amplitude and frequency contents vary with time depending on the medium it propagates. Therefore, it is better to utilize the non-stationary approach of signal analysis such as S-Transform. The S-Transform method can give a time-frequency representation that is able to localize frequency components of signal in time domain. <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> The S-Transform was utilized to generate instantaneous spectral attributes, such as amplitude envelope, mean amplitude, and differential amplitude. These attributes may be used as tools for detecting hydrocarbon directly. <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br /> In this research, the S-Transform and several generated attributes was applied to Marmousi-2 synthetic data (Marmousi-2-2) in which gas and oil reservoirs are the targets. Meanwhile, field data of Aremania are of gas reservoir. Results of analysis show that there observed some amplitude frequency anomaly associated with the presence of hydrocarbon. <br />