… 3 Deep Eikonal Solver We present a fast Eikonal solver estimating the geodesic distance
for a discrete set of points \(\mathcal {S}\) from a subset of source points \(\mathfrak {s} \subset \…

… of the eikonal is exacerbated … eikonal equation using neural networks to tackle caustic
pathologies. We introduce the novel Neural Eikonal Solver (NES) for solving the isotropic eikonal …

… Therefore, we seek a trained deep neural network (DNN) … This not only adds to the complexity
of the eikonal solver but also results in … Finally, we test the PINN eikonal solver on a highly …

… more important for deep structures since the … eikonal solver, the fast marching method (FMM;
Kool et al., 2006; Rawlinson & Sambridge, 2004a, 2004b) in computing Δt Pds . The eikonal …

… Deep learning is fast emerging as a potential disruptive tool … solve the isotropic P-wave
eikonal equation. By minimizing a … Finally, we test the accuracy of the PINN-based eikonal solver …

… Eikonal equation is a non-linear PDE that is used for modeling seismic traveltimes. Here we
test the idea of using neural networks for solving the 2D Eikonal … the Eikonal equation using …

… On a different front, deep learning is fast emerging as a poten… largely untapped potential of
deep learning for applications in … This feature of PINN-based eikonal solver is particularly at…

… We test our eikonal solver on synthetic TTI and TOR models and compare the eikonal
solution with the corresponding first arrival from the wavefield solution. For 2D, we compute the …

… Group Marching Method The Group Marching Method (GMM) [48] is an FMMbased Eikonal
solver which solves for a group of grid points in Narrow at once, instead of sorting them in a …

… deep seismic exploration and drilling work. However, there are three main problems when
using traditional eikonal solvers … ), and the efficiency of the global solver. Although the effect of …