摘要
通过提取井旁地震道的特征参数 ,利用神经网络建立其与测井声波时差的非线性映射 ,进而外推井底以下声波曲线 ,从而实现地震、测井联合预测井底以下的地层压力。该方法克服了单纯地震层速度或单纯声波时差预测地层压力的局限性。经 NH地区实际资料模拟预测 。
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 logging 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.
出处
《石油地球物理勘探》
EI
CSCD
北大核心
2000年第2期170-184,共15页
Oil Geophysical Prospecting
基金
国家海洋领域"863"项目
中国海洋石油南海西部公司资助
关键词
地震特征参数
压力预测
测井
地层
地震勘探
seismic characteristic parameter, acoustic interval transit time, nonlinear mapping, extrapolation, pressure prediction
