New results in seismic deconvolution using lattice processors

This paper addresses the problem of removing time varying multiples from reflection seismic data. An adaptive recursive lattice algorithm is proposed for adaptively deconvolving the multiple events from the data. The technique involves the use of a finite memory filter which propagates through the time series. This memory window is set up such that both the future and past neighbouring statistics are used for computing the reflection coefficients. A comparison is made between conventional deconvolution techniques with synthetic and field reflection data. To achieve ´D´ step prediction filtering a two step filtering structure is proposed which over comes any orthogonality violation. Results on seismic data are included to illustrate the performance of the algorithm.