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《Progress in Geophysics》 2012-01

## Seismic correlation constrained multi-channel velocity inversion

ZHANG Ru-wei1,ZHANG Bao-jin1,WEN Peng-fei1,HUANG Han-dong2(1.Guangzhou Marine Geological Survey,Guangzhou 510760,China; 2.Oil Recovery Enhanced Center;China University of Petroleum;Beijing 102249,China)
Model-based impedance inversion method is usually used in practical work,but the model set can be infinite bandwidth.It is not limited by seismic records,so model-based inversion will bring multi-solution,In other words,forward theories record of different models coincide with the actual seismic records.In order to reduce this multi-solution,the inversion must be using a variety of constraints,so the constrained method determines the authenticity of the inversion solution,at the same time the accurate constraints can reduce the number of iterations,thereby enhancing the operational efficiency.Many scholars have discussed in detail some of the constraints method of seismic inversion,but rarely described in the constraint between seismic trace,most methods are used well logging extrapolation,this ignores the correlation characteristics of seismic trace,will increase the computing time inversion.For these issues,this paper describes a method about seismic correlation constrained velocity inversion,mainly uses relevant characteristics of seismic to optimize constraints and reduce the computation,when seismic correlation is strong that reduce constraints and the number of iterations,otherwise increase the constraints and the number of iterations,so this can reduce the inversion time and Improve the inversion effect.This paper first analyzes the different constraints of seismic inversion methods,and uses seismic correlation to select the strength of constraints and the range of constraints,but not in all seismic trace inversion uses the same constraint parameters,it can greatly optimize the efficiency of operations;Then we design two mathematical models to validate the inversion method,the conclusion indicates the results of inversion conform to actual results and this method can greatly reduce the computing time.Finally,we used the actual data in eastern China to test the method;the characteristic of alluvial fan deposition are very obvious in the Inversion profile,the period of sand is clearly visible,and has a certain resolution and reliability.
【Fund】： 国家“973”计划项目(2009CB219505)资助
【CateGory Index】： P631.4
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