Huang Han-dong1,2, Zhao Di3, Ren Dun-zhan4, Wang Yu-mei5
1. Enhanced Oil Recovering Research Center, China University of Petroleum(Beijing), Beijing 102249, China;
2. State Key Laboratory of Petroleum Resource and Prospecting, China University of Petroleum(Beijing), Beijing 102249, China;
3. Deyang Branch, E&P Research Institute SWPBof SINOPEC, Deyang, Sichuan 618000, China;
4. BGP Inc., CNPC, Zhuozhou, Hebei 072751, China;
5. Geophysical Research Institute, Shengli Oil-field, Dongying, Shandong 257022, China
Abstract：Numerous tests indicate that geophysical data conform to or approximately conform to Gaussian distribution,so it is feasible to combine Gaussian distribution with Bayes theory and apply to geophysical inversion.An iterative inversion algorithm with definite physical significance is derived on the assumption of no noise,and an iterative inversion formula is newly derived based on Bayes theory in this paper.Through test results of 3-layer and 12-layer sand shale interbed models with layered medium and actual applied results,it is found that combining wave impedance inversion algorithm based on Bayes theory with multi-trace inversion idea has features of high precision and improved stability,and that influence of noise can be reduced obviously.The calculation is simple and thin beds can be identified effectively based on inversion results.
