论文部分内容阅读
本文运用滤波和Ｋ－Ｌ变换对全波列声测井数据进行处理。滤波能去掉某些高、低频噪音；Ｋ－Ｌ变换，能削弱相干或不相干的噪音，分离或去掉各种波型，以加强Ｓ波信噪比。
In this paper, the filtering and K-L transform are used to process the data of full-wave acoustic logging. Filtering can remove some high and low frequency noise; K-L transform, can weaken coherent or irrelevant noise, separate or remove various waveforms to enhance S-wave signal to noise ratio.