Research on prediction of thin bed thickness using seismic data and its application
地震资料预测薄层厚度方法研究与应用

The prediction of thin bed thickness is one of the difficult problems generally Acknowledged.Its difficulty lies in how to exactly extract the seismic attributes of thin bed.The traditional method is to use the linear relations between seismic attributes parameter of time or frequency and the thin bed thickness.But both theoretical and practical data indicate that different thin bed and strata combinations have a great influence on the dynamic information of seismic wave.All parameters depend nonlinearly on the thin bed thickness.The thin bed thickness can not be predicted exactly by using single seismic information.This essay converts the three linearity prediction theories into attributive parameters through mathematic ways.we adopt the several parameters,and use the neural network to predict the thin bed thickness.And with application of theoretical model and practical data,it is high-precision to predict thin bed thickness.we achieve a satisfactory result.