An adaptive scheme for processing multitrace marine seismic data

Abstract

A deconvolution method based on the adaptive linear filtering technique has been developed for processing multitrace time-varying seismic data. In this adaptive algorithm the combined filter coefficients are being continuously updated as the seismic trace is being processed. The convergence factor of the adaptive algorithm obtained from the combined trace information is a major controlling parameter that regulates both speed and stability of the adaptive process. This constant convergence factor has been used to process the multitrace information. The developed method has been tested on a field sample

<span style="font-size:14.0pt;line-height:115%;font-family:" times="" new="" roman";="" mso-fareast-font-family:"times="" roman";color:black;mso-ansi-language:en-in;="" mso-fareast-language:en-in;mso-bidi-language:hi"="" lang="EN-IN">of marine seismic data from the western continental margin of India. Results reveal that the methodology is effective in comparison to the conventional method of predictive deconvolution in removing the water bottom multiples.</span>