Open AccessAnalysis of seismic signal in order to determine subsurface characteristics
Author(s) -
Hena Dian Ayu,
S. Sarwanto
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1375/1/012079
Subject(s) - seismology , geology , synthetic seismogram , attenuation , seismogram , volcano , dispersive body waves , seismic wave , signal (programming language) , seismic noise , energy (signal processing) , seismic inversion , amplitude , vertical seismic profile , physics , computer science , statistics , optics , mathematics , azimuth , programming language
The purpose of this study is to know how to analyze the seismic signals volcanic to determine subsurface characteristics. The method used to analyze seismic signals volcanic is Fast Fourier Transform. Sample signal seismic wave of this study come from Semeru Volcano and Ijen Volcano signal seismic based on seismogram. The first data are given by swarm and wvw software. Analyze seismic wave in this study proves the existence of a relationship between seismic attributes (frequency, amplitude, time (origin, primer dan secondary) and attenuation) of the characteristics of the earth's surface. This study proved there is the correlation between subsurface characteristics and energy, it shows by attenuation factor value (Q value). The value of factor Q indicates how many waves are absorbed by the medium.