A method for formation pressure prediction using seismic and logging data
Peng Zhenming, Xiao Cixun, Yang Bin, Wang Bin
1998 Doctor class, Department of Information Engineering and Geophysics, Chengdu College of Science and technology, Chengdu City, Sichuan Pzovince, 610059, China
Abstract：Nonlinear mapping between the characteristic parameters of borehole-side seismic trace and acoustic interval transit times is made by using neural network，then acoustic logging curve under borehole bottom may be obtained through extrapolation to predict formation pressure under borehole bottom by using seismic and loggrog data. This method removes some limitations in formation pressure prediction using only seismic interval velocity or acoustic interval transit times. The modeling prediction of real data in NH area proves that the method brings good effect.
