Applications of velocity model building using Monte Carlo simulations in the Campos Basin, Brazil

Abstract

Velocity model building (VMB) is a time-consuming process involving several passes of migration and tomography. Martin and Bell (2019) proposed an automated stochastic approach that can accelerate the VMB turnaround. The method creates multiple random perturbations of the initial velocity model that are later inverted through tomography. The products of each individual perturbation are statistically combined and added to the starting model. This process is then repeated until a convergence criterion is met (flat gathers). In this abstract we will present an application of the Monte Carlo based VMB in the Campos Basin, Brazil. Additionally, we will demonstrate that the stochastic VMB produces velocity models, in accelerated turnaround, suitable for Full Waveform Inversion.