The Study Of Dircet Current Resistivity Sounding Of Inversion Algorithm

Resistivity sounding is one of method in electric detect usually , it is used extensively, because of its many characteristic, such as extensive applicability ,low-cost detect ,high efficiency ,portable equipment etc . It is very significant to study the inversion of resistivity sounding..Based on the former fruit and new theory, discussible research is done for the shortcoming of traditional inversion of resistivity sounding.IVFSAM is presented in order to combine the research of certain and blindness and mend the smaller extent during the high temperature. VFSAA is improved in two aspects. One is that the random disturb is used during the high temperature while the other phase isn't done. Another is to find the lowest power from the accepted states after disturbing in designed times and take it as the current state. The valid and effect of this approach is proved in the application of inversion of resistivity sounding by simulation. To improve the speed and accuracy of the generalized inversion of resistivity sounding and decrease the dependence of the result to the original parameter, multi-scale generalized inversion of resistivity sounding combined with MRA is presented. Through transform of different grade wavelet to the two sides of normal equation, the problem is separated in different scale. The result in current scale can been taken as the original parameter to the next scale. The final result is accurate in some degree by gradual process from rough to detail. The PC result prove that MGI can not only improve the speed and accuracy of inversion of resistivity sounding but also save the memory which is very significant in the high-dimension application.