A system and method for the removal of shallow water multiples using a hybrid multi-channel prediction method

摘要

#$%^&*AU2014200094A120140731.pdf#####1000477146 ABSTRACT A system and method are provided for determining shallow water multiples when seismically exploring a geographical area of interest under a body of water. The system and method estimate a multi-channel prediction operator F using a model of water layer related multiples with respect to received and stored seismic data, estimate a travel time of the transmitted seismic wavelets from the one or more sources to each of the plurality of receivers, and then generate water layer primary reflections models using the estimated travel time and Green's function. The system and method then merge the generated water layer primary reflections models with the multi-channel prediction operator F to create a hybrid multi-channel prediction operator FH, and convolute the hybrid multi-channel prediction operator FH with the stored received data to determine a final multiples model.4/15 Figure 4 400 402 Transmit Source Wavelets in a Geographical Area of Interest (GAI) /404 Receive and Store Transmitted Wavelets (Seismic Data) 406 Estimate a Multichannel Prediction Operator Using WLRMs with respect to the received Seismic Data 408 Stack the Multichannel Prediction Operator to Improve the Signal-to-Noise Ratio (SNR) of the Seafloor Reflection /410 Automatically Estimate the Travel Time and Model the Green's Function of Seafloor Reflections /412 Merge the Green's Functions of the Seafloor Reflections with the Multichannel Prediction Operator to Form a Hybrid Multichannel Prediction Operator /414 Convolve the Hybrid Multichannel Prediction Operator with Stored Seismic Data to Obtain the Final Multiple Model (Equation 4) /416 Subtract the Final Multiple Model from the stored Seismic Data to Obtain and Display A Corrected Version of the Underground Environment of the GAI