Research On JointWidening The Frequency Band Controlled By Spatial Variation Of Matching Factor In Signal Domain

In current, the hydrocarbon exploration is more and more difficulty. So that in orderto interpreting strata, structure, and reservoir more exactly, we need the higher resolutionof seismic data. Improving the resolution of seismic data is the key of seismic dataprocessing. According to multi-scale geophysical data in ken71,integrate cross-wellseismic, well logging and geological information, research crosswell-surface seismic jointwidening frequency method, and found the flow of crosswell-surface seismic jointwidening frequency method. Then by analyzing real data and model data processing, verifythe rationality, feasibility and reliability of this method.First, analyze the time-frequency relation for seismic data and cross-well data, andconfirm that time-frequency analysis whether meet the basic conditions of joint wideningthe frequency band or not. Then, obtain the high-frequency partial matching factors fromcross-well and seismic data, use some spatial processing method to serialize and stabilizethe spatial matching factors, and then gain the spatial matching factor acting on primarypulsed record, in order to obtaining a high resolution matching data body. With the restraintof logging data and geological knowledge, use SFMOD method to the effectiveseismic-geologic model as the constraint condition for BCI, compense the high frequencyand expand the low frequency for surface seismic data to obtain a high resolution databody.Theoretical models and processing results of real data show that the new method hasright theory basis and brings good application effect. Based on studying, the author holdsthe opinions that: (1) It can widen the frequency band through using their respectiveadvantages in vertical resolution and lateral resolution of cross-well and seismic data. theyeach other can fit well and combine organically. (2) Restricted by Correlation of seismicdata and spatial distance, spatial interpolation method is reasonable and effective.(3) Thespatial variation of matching factor fulfills the requirements of continuity and stability.(4)The time-frequency analysis results of high resolution seismic data can fairly display that:this method compenses high frequency and expands low frequency is attained, andimproves the resolution of seismic data significantly.