3D CRS analysis: A data‐driven optimization for the simultaneous estimate of the eight parameters

Abstract

We devised a data‐driven strategy for the simultaneous estimate of the eight CRS traveltime attributes, solving a global non‐linear minimization problem without the need of computing gradients. The essential elements are the following: a conjugate‐direction method supported by well known convergence properties and an iterative line‐search implementing the strong Wolfe‐Powell rule for the control of the steplength. The resulting algorithm can reach very good solutions in presence of many local minima.