Finite-Offset CRS stacking using Differential Evolution and Very Fast Simulated Annealing global optimization algorithms
João Carlos Ribeiro Cruz, German Garabito · 2017
By means of the hyperbolic traveltime approximation, t finite-offset Common Reflection Surface (FO CRS) method is capable to simulate arbitrary offset seismic sections by stacking prestack seismic data along paraxial traveltime surfaces. In order to reconstruct seismic reflection events in common-offset sections, the 2-D FO CRS traveltime approximation depends on five kinematic attributes (or CRS parameters) for each selected point of the seismic section. The main challenge of this method is to provide a computationally efficient data-driven strategy for accurately determining the best set of parameters. For comparison, we apply strategies for simultaneously estimating the five parameters from prestack seismic data, the so-called Very Fast Simulated Annealing (VFSA) and the Differential Evolution (DE) global optimization algorithm For one sample point of the common-offset section to be simulated, we compare the performance of both algorithms in respect to the efficiency and accuracy for estimating the five FO CRS parameters. We applied both optimization algorithms on real seismic data and showed the potential of them to enhance the reflection events in noisy data, even with very low signal-to-noise ratio.