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《Journal of China University of Petroleum(Edition of Natural Science)》 2007-03
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Simultaneous three-term AVO inversion based on Bayesian theorem

CHEN Jian-jiang,YIN Xing-yao,ZHANG Guang-zhi(Faculty of Geo-Resource and Information Faculty in China University of Petroleum,Dongying 257061,Shandong Province,China)  
Routine post-stack seismic trace inversion techniques affected by many factors can not get reliable impedance or other lithologic information.However,more abundant and more effective lithologic information can be obtained from pre-stack data inversion than that obtained from ordinary post-stack impedance inversion.The one order differential model and convolutional model of impedance formula of amplitude versus offset(AVO) inversion were established.Impedance inversion formula from AVO was derived based on Bayesian framework.Methods of using Huber function as prior model parameter distribution and covariance matrix from well log as constrains were developed.The P-wave impedance,S-wave impedance and density were calculated by the conjugate gradient algorithm.The numerical results show that the robustness of noise interference and the reliability of inverted result are improved by the method,and the inverted P-wave impedance,S-wave impedance and density are calculated to obtain more reliable information of fluids and porosity,which can provide reliable foundation for lithologic and oil-bearing interpretation.
【Fund】: 国家“863”计划项目(2006AA09A102)
【CateGory Index】: P631.44
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