节点文献
时域频域多参数薄层厚度预测
THIN-BED THICKNESS PREDICTION BY MULTI PARAMETERS IN TIME DOMAIN AND FREQUENCY DOMAIN
【摘要】 通过制作理论模型,提取出时域、频域内最能反应薄层厚度的多种参数:反射波的总能量、视振幅、正半周面积、负半周面积、相关函数第1个零点的时移值、振幅谱面积、主频、中心频率、频带宽度、频谱的二阶矩及三瞬剖面等,它们与薄层厚度的关系都是非线性的。采用BP法神经网络,通过对模型数据的学习、记忆、识别,预测薄层厚度,取得了较满意的结果。
【Abstract】 Representative parameters which respond to thin-bed thickness in time domain and frequency domain are derived by making theoretical models.They are total energy of reflected waves, visible amplitude, plus half-periodic area,minus half-periodic area,the time-shift corresponding to the first zero point of the correlationfunction,area of the amplitude spectrum,dominant frequency, center frequency,spectralband width,the second moment of the spectrum and three-instantneous section,etc.The relations between these parameters and the thin-bed thickness are not linear.We predict the thin-bed thickness by using back propagation(BP)neural network to learn,memorize,discriminate to model data,and the results are satisfactary.
【Key words】 time domain; frequency domain; thin-bed thickness; neural network;
- 【文献出处】 大庆石油学院学报 ,JOURNAL OF DAQING PETROLEUM INSTITUTE , 编辑部邮箱 ,1996年03期
- 【分类号】TE15
- 【被引频次】1
- 【下载频次】77