Robust interbed multiple modelling and attenuation for variable-density surveys onshore Oman

Generation of inaccurate multiple models that are subsequently adapted to the data can easily cause signal damage where dip discrimination between primaries and multiples is low. This is often diagnosed by appreciable distortion of the multiple model during adaption. Using data from onshore Oman, pre-stack multiple modelling and attenuation performed with variations of the predictive deconvolution and correlation-convolution methods produced accurate multiple models that undergo little distortion during adaption. The methods appear safe for pre-stack use and for both structural and AVO analysis.