Journal of the Korean Society of Mineral and Energy Resources Engineers ISSN:2288-0291(Print) 2288-2790(Online) 한국자원공학회지

We studied on reverberation removal using periodicity and amplitude characteristics of the primary wave and its reverberations in the time domain. Attenuation factor and reflection coefficients were estimated by using the simulated annealing method from direct and primary waves. Predicted reverberation was computed with inversed parameters and source wavelet, which was used to estimate reverberation on a trace via the adaptive technique. Our algorithm was successfully applied to 1-D convolutional modeling data and finite difference modeling data based on the acoustic wave equation. In field data application, our technique was very effective and successful in the reverberation removal and improved the seismic data quality. Our algorithm, the adaptive subtraction method, will contribute to the study on the seismic data processing to enhance signal and improve data quality in the time domain.