Characteristics of hyperbolic time-distance relation filter in seismic prospecting and its ability increasing signal-to-noise ratio
地震勘探时空域双曲滤波因子的特点与提高信噪比的能力

The chaotic vibrator method(CVM)were applied to improving the signal-to-noise ratio(S/N)of seismic prospecting data with strong random noise,and ascertain the unknown event-fix.In this paper,the hyperbolic time-distance relation filtering(HTDF)is presented,which is a next signal processing followed CVM for the enhancement of weak events.The HTDF is based on the both least-square-filtering algorithm and chaotic vibrator theory.In order to describe the HTDF's process and result,multi-trace filtering-factors are calculated for the seismic record contained a reflecting event.The simulation experiment results show that the HTDF's factor of a out-trace has very complex construction in time-frequency domain,and a prominent characteristics is the undulate fall-frequency phenomenon(UFFP).The complementation characteristics of the amplitude spectrum of many filtering-factors relative an out-trace is a way by which decreasing or eliminating UFFP.The simulating experiments indicate that the effect of the HTDF is better then hyperbolic velocity filtering in domain and convolution filtering.Finally,the mechanism of the HTDF technique is discussed,which includes comparability of the wavelets in an event and the effective multi-addition processing for the factors in a group.