Application of Multi-Dip Reflection Surfaces Method with Optimum Pre-Conditioning to Old Vintage Data



In this paper, the MDRS (Multi-Dip Reflection Surface) results which were applied to the low S/N and poor acquisition specification data acquired in Indonesia are described. MDRS is an advanced stacking method for complex structures based on the CRS (Common Reflection Surface) technology developed by JGI, Inc. To achieve the reliable MDRS results, pre-processing especially noise suppression is essential because MDRS processing enhances coherent events which are not only signal but also noise. It is necessary to specify the noise and decide the optimal parameter to attenuate the noise as much as possible prior to MDRS process. Subsequently using the noise suppressed data, MDRS processing was applied. As a result of applying the MDRS including optimized pre-processing to the low S/N data, the clearer structural image compared to the conventional stack data was successfully achieved. MDRS is a powerful tool to image the low S/N data from ‘nothing to something’. At the same time, the use of noise free data is suggested to improve the MDRS results.


Authors : Taku Okamoto, Muhammad Amin, Agung Prasetyo, Teguh Suroso