Monte‐Carlo statics on P‐P or P‐Sv wide‐azimuth data

Abstract

Estimation of surface consistent residual statics on 3D wide-azimuth P-P or P-Sv data using a Monte-Carlo approach is a challenge. This non-linear method that uses Simulated Annealing is known for its efficiency to compute large magnitude statics but is also characterized by a high computation cost. However, by using advanced methods like High Performance Computing (HPC), the computation cost of this not "embarrassingly parallel" algorithm can be drastically reduced. This paper demonstrates that a nonlinear approach to estimate large magnitude Monte Carlo statics either on P-P or P-Sv data is now possible with a reasonable turnaround. Moreover, this can be done without splitting or chunking the statics computation into several swaths.