Paper Information

Title: 

SENSITIVITY ANALYSIS TO NOISE AND SOURCE WAVELET FREQUENCY BAND OF REFLECTIVITY ESTIMATION USING HOPFIELD NEURAL NETWORK

Type: PAPER
Author(s): ROSHANDEL AMIN,JAVAHERIYAN ABDOLRAHIM,NAJJAR ARABI BABAK
 
 
 
Name of Seminar: CONFRANCE ZHEOFIZIKE IRAN
Type of Seminar:  CONFERENCE
Sponsor:  ANJOMANE MELI ZHEOFIZIK IRAN
Date:  2006Volume 12
 
 
Abstract: 

DECONVOLUTION IS ONE OF THE MOST IMPORTANT SEISMIC DATA PROCESSING STEPS WHICH IMPROVE THE QUALITY OF SEISMIC DATA. CLASSIC METHODS OF DECONVOLUTION CONSTRUCTED BASED ON ASSUMPTIONS WHICH VIOLATED IN REAL WORLD. NOISE FREE DATA IS ONE OF THE MENTIONED ASSUMPTIONS. USING OF HOPFIELD NEURAL NETWORK IN SEISMIC DECONVOLUTION TO ESTIMATE EARTH REFLECTIVITY IS ONE OF DECONVOLUTION METHODS. IN THIS PAPER, SENSITIVITY OF THIS METHOD TO NOISE AND FREQUENCY BAND OF SOURCE WAVELET IS ANALYZED. THIS METHOD ESTIMATES THE REFLECTIVITY SERIES IN TWO STAGES: 1. REFLECTIVITY LOCATION DETECTION, 2. REFLECTIVITY MAGNITUDE ESTIMATION. EVALUATION OF RESULTS SHOWS THAT, USING OF HOPFIELD NEURAL NETWORK FOR DECONVOLUTION IS NOT SENSITIVE TO NOISE AND SOURCE WAVELET FREQUENCY BAND.

 
Keyword(s): DECONVOLUTION, REFLECTIVITY, HOPFIELD NEURAL NETWORK
 
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