Research On Joint Widening The Frequency Band By Multi-scale Geophysical Data

With the growing national economy and social development of the science andtechnology, the state and society’s growing demand for oil resources. Because of wasting a lotof manpower and material resources in exploration of new oil fields It is becoming a new wayto solve the problem, which through rolling exploration in old oil fields to search for new oiland gas reservoirs to enhance oil recovery. In order to achieve the purpose of the fineinterpretation stratum structure, reservoir geological targets, we need the better resolution ofseismic data. we comprehensively use seismic data, cross-well data, logging data and rockinformation to widen the frequency band of seismic data.It is different for time-frequency spectrum in multi-scale geophysical data. At the first,analyze the time-frequency relation for seismic data and multi-scale geophysical data, andconfirm that time-frequency analysis whether meet the basic conditions of joint widening thefrequency band or not. Then, compute the high-frequency partial matching factors frommulti-scale geophysical data and seismic data. use some spatial processing method to serializeand stabilize the spatial matching factors, and then gain the spatial matching factor acting onprimary pulsed record, in order to obtaining a high resolution matching data body. With therestraint of logging data and geological knowledge, use SFMOD method to the effectiveseismic-geologic model as the constraint condition for BCI, compense the high frequency andexpand the low frequency for conventional seismic data to obtain a high resolution data body.It is available and useful for this research. There are many tests being processed onTheoretical models and acquisition data The results show that the new method has righttheory basis and brings good application effect. Based on the title above, we can hold theopinions like this:(1) It can widen the frequency band through using their respectiveadvantages in vertical resolution and lateral resolution of multi-scale geophysical data andseismic data. they can match well and combine organically each other.(2)It is reasonable andeffective for matching operator,which is restricted by Correlation of seismic data and spatialdistance, spatial interpolation method.(3) The spatial variation of matching factor fulfills therequirements of continuity and stability.(4) We handle the result of high resolution seismicdata by the time-frequency analysis. It confirms that: this method compenses high frequency and expands low frequency is attained, and improves the resolution of seismic datasignificantly.