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De-noising Strategy on Single-source Single-sensor Data: a Case Study from North Kuwait
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 80th EAGE Conference and Exhibition 2018, Jun 2018, Volume 2018, p.1 - 5
Abstract
This paper reviews the benefits of using “high-end new-generation” de-noising tools on a broadband single-source single-sensor Wide Azimuth survey from North Kuwait. The survey was acquired in a very challenging area containing agricultural and industrial zones, as well as various natural and man-made obstructions, leading to large holes and irregularities in the acquisition. We demonstrate that the chosen solution correctly recovers the broadband signal, by applying optimum processing on highly noise contaminated data. Once properly de-noised, a 5D interpolation process was used to reconstruct a high resolution image, from the shallow to the deeper section. Appropriate de-noising sequence prior to the 5D interpolation was crucial for further processing steps such as multiple attenuation, pre-stack time and depth imaging and reservoir characterization.