Detection of bright spots in frequency attenuated seismograms using a cutting method and tree classification

Kou-Yuan Huang, King Sun Fu

Research output: Contribution to conferencePaper

Abstract

Reflection of frequency attenuation affects the detection of bright spots in the conventional tree classification. A "cutting method" is presented. The whole seismogram is cut into small sections. Block diagram of the cutting method and tree classification is shown in Figure 2. In every section, training traces are randomly selected. Envelope threshold is determined by 2-3 standard deviation of the noise from seismogram. Threshold of instantaneous frequency is determined by using a cluster analysis and the resulting separability information. Then high amplitude and low frequency area can be detected. After determining the tree classifier of envelope and instantanteous frequency from training traces, classification is performed in the small section. A new definition of polarity is also presented here. Polarity reversal also checks where the gas or oil/water reflection is. The major advantage of the cutting method is that overlapping distribution of the envelope and instantaneous frequency can be taken out. A simulation of three kinds of zero-phase Ricker wavelet and a relative amplitude seismogram of bright spots are presented. The results are quite satisfactory.

Original languageEnglish
Pages450-452
Number of pages3
StatePublished - 1 Jan 1993
Event1983 Society of Exploration Geophysicists Annual Meeting, SEG 1983 - Las Vegas, United States
Duration: 11 Sep 198315 Sep 1983

Conference

Conference1983 Society of Exploration Geophysicists Annual Meeting, SEG 1983
CountryUnited States
CityLas Vegas
Period11/09/8315/09/83

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    Huang, K-Y., & Fu, K. S. (1993). Detection of bright spots in frequency attenuated seismograms using a cutting method and tree classification. 450-452. Paper presented at 1983 Society of Exploration Geophysicists Annual Meeting, SEG 1983, Las Vegas, United States.