We present a multiple attenuation case study performed over an onshore orthogonal seismic survey where strong internal multiple contamination directly affects the relative amplitude between traces of primary reflection events. Preserving the primary relative amplitude trend is essential for any inversion and reservoir characterization process. The proposed workflow starts with understanding the internal multiple contamination pattern using borehole modelling to assess the overall contamination trend and amplitude trend between traces. The modelling is also used to identify formations responsible to generate strong internal multiples in the seismic record. Next, we predict the surface seismic multiples present in the seismic record using a data-driven forward modelling algorithm for surface and internal multiples. The predicted model is then subtracted from the field data using an adaptive matching process. Our results demonstrate a superior seismic inversion and a suitable input for reservoir assessment and delineation of the thin carbonates reservoirs present in this field.


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