预测误差滤波及时域最小熵转换波阻抗的方法及其应用

APPROACHES TO INCORRECT FILTERING PREDICTION AND TIME-DOMAIN MINIMUM ENTROPY CONVERTED WAVE IMPEDANCE AND THEIR APPLICATION

海洋石油勘探开发研究中心

Prospoeling and Research Center

本文主要论及了基于AR模型的信号恢复方法和利用时域变换的最小熵谱外推方法来恢复反射系数序列,从而实现波阻抗的转换。这种方法相对于合成声波测井的优点是克服了人工干预的主观性。填充了谱中5～10Hz的缺口,能较好地恢复主要层的阻抗。但由于方法本身的稀疏反射系数序列假设前提,使得弱层的分辨较差。文中给出了在某海区储层分析及烃类检测中的应用实例。

This paper deals primarily with that based on Malel AR signal recovery technique and utilizing the time-domain minimuta entropy extrapolation in reccver the reflection coefficient series so that impedance conversion can be performed. Aplrtrentiy, the advatttages of the recommended approaches against the synthetic acoustic log demonstrate that the possible subjectivities resulted from artificial interference could be eliminated,the missing in spectrum(5-lOHz) could be made up and the retrieval of the impedance from major formation could be acceptably done. However,because of the sparse reflection coefficient series ,a presupposition of this approach ,it leads resolution of the weak reflector to be poor. Also,exampler about the reservoir analysis as well as hydrocarbon detection made at one offshore prospecting area are given in the paper.