TN631 : Lithology discrimination in hydrocarbon bearing zone via AVO analysis through lithology stack
Thesis > Central Library of Shahrood University > Mining, Petroleum & Geophysics Engineering > MSc > 2016
Authors:
Mohammad Ahmadi Dizgani [Author], Mehrdad Soleimani Monfared[Supervisor], Abolghasem Kamkar Rouhani[Advisor]
Abstarct: Using full stack seismic sections by geologists to find subsurface structures is conventional. Advances in seismic data interpretation have made interpreters to look forward for extracting additional information from seismic data. Various techniques in amplitude variation with offset studies led researchers to search for hydrocarbon fluids and lithology changes. In this Thesis we have used extended elastic impedance sections and petrophysical logs for lithology discrimination. Inverting prestack data preserves information which can be easily missed in ordinary stacked data. By using correlation between petrophysical logs of interest and extended elastic impedance log, we get the best angle for reflectivity section of extended elastic impedance. After using Aki_Richards approximation of Zoeppritz equation we get the reflectivity section of interested parameter. By inverting reflectivity sections of various parameter of interest, we can compare the EEI section of interest. The ultimate results for lithology discrimination shows that inverted reflectivity sections of EEI shows the least possible effects of fluid on EEI sections. Extended elastic impedance sections shows better results in comparison to acoustic impedance.
Keywords:
#Amplitude variation with offset #Extended elastic impedance #Inversion #Litholog Link
Keeping place: Central Library of Shahrood University
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