频谱分解技术在断层与储层识别中的应用

本文简述了应用短时傅里叶变换、连续小波变换和S变换进行频谱分解的原理，讨论了不同方法的适用条件；在土库曼斯坦阿姆河盆地麦捷让油田碳酸盐岩礁滩相储层识别中，通过三种方法的对比，优选出S变换作为主要的应用算法；直接利用分频剖面在研究区内同时进行了断层和溶蚀、裂缝储层的识别；通过三维振幅雕刻清晰地展示了研究区储层的分布形态及特征。

Spectral decomposition in fault and reservoir identifications

This paper reviews the principle of spectral decomposition using the short time Fourier transform, the continuous wavelet transform and the S-transform, and discusses application conditions for these algorithms. We select the S-transform as the main approach from these three methods and use it for carbonate rock identification in Metejan field, Amu Darya Basin, Turkmenistan. Applying the spectral decomposition sections by S-transform, we can directly identify faults, dissolution reservoirs and fractured reservoirs at the same time. The 3D visualization clearly shows the distribution of reservoirs.