时域频域多参数薄层厚度预测
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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。
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.
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.
引文
1徐怀大．地震地层学解释基础．北京：中国地质大学出版社，1990．83～892杨凯，雷晓．在频率域中求取薄地层厚度和反射系数．石油地球物理勘探，1993，28（增刊2）：15～203ArthurE．Barrus．Instantaneousspectralbandwidthanddominantfrequencywithapplicationtoseismicreflectiondata，geophysics，1993，58（3）：419～4284王大力．用人工神经网络做地质数据分析．石油物探，1994，33（4）：65～69
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