P-SV wave fracture parameter extraction from pre-stack data
Liu Kaiyuan1,2, He Zhenhua1,2, Cao Junxing1,2, Huang Deji1,2, Wen Xiaotao1,2, Cai Hanpeng1,2
1. State Key Laboratory of Oil & Gas Reservoir Geology and Exploitation, Chengdu University of Technology, Chengdu, Sichuan 610059, China;
2. College of Geophysics, Chengdu University of Technology, Chengdu, Sichuan 610059, China
Abstract：This paper analyzes the characteristics of RPS by P-SV approximate reflection coefficient (RPS) suitable for single HTI media, and compares these characteristics with those obtained by P-P reflection coefficient (RPP). Using the P-SV approximate reflection coefficient expression suitable for HTI media, we deduce the inversion expression to predict fracture azimuth and density of pre-stacked data. Results show the rationality of the fractured coefficient extraction method proposed in the paper. We get the following conclusions: 1Influencing by the anisotropy of HTI media, RPS distributes as ellipse via the change of azimuth, whose property may indicate the fractured azimuth and intensity; 2The anisotropic coefficient ε is nothing to do with RPP, but γ has great influence to RPP; 3but all the 3 anisotropic coefficients ε、δ、γ has certain influence to RPS, and γ has great influence to RPS too; 4RPS is more sensitive to fractured media (HTI), which means there must be more rich and correct fractured anisotropic information in P-SV pre-stacked seismic data. So we can inverse fractured azimuth and density from pre-stacked seismic data. Finally, the forward modeling and inversion results show that the accuracy is high enough to predict the fractured azimuth and density.
