Good quality seismic data are essential for seismic reseirvoir characterization, from seismic applications (wavelet estimation, low frequency model building, seismic velocity calibration and time to depth conversion) to petro-physical interpretation, rock physics modelling and hard data in deostatistical modeling. Surface seismic data need to possess the necessary level of quality to make the advanced inversion techniques successful in providing the reservoir characterization results to be input into the static models. Interbed multiples occur in all types of seismic datasets and are challenging to address, directly and negatively affecting structural and stratigraphic mapping, as well as extracting concise petrophysical attributes from the seismic data. This is particularly a problem for deep and fractured reservoirs, where strong internal multiple contamination increases the ambiguity of the interpretation and inversion of the seismic data, leading to misleading reservoir characterization, ultimately affecting well construction and placement. These interbed multiples can appear at a very similar timing and amplitudes to primaries due to comparable velocities which makes it difficult to differentiate from primary energy in areas with relatively flat geology. In current paper we will demonstrate the demultiple workflow for low relief structures in Abu Dhabi. To address the specific challenges, Extended Interbed Multiple Prediction or a combination of methods presented. The multiple attenuation workflow described in this work follows forward modelling and adaptive subtraction with primary protection approach, improves the preconditioning of seismic for pre-stack inversion over the target oilfield. "The output seismic data after the optimal multiple attenuation workflow provide a superior seismic inversion and a suitable input for reservoir assessment and delineation of the thin carbonates reservoirs present in UAE" (Melo, Glushchenko et al. 2017).
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