Solving Traveltime Tomography with Deep Learning

Multiscale traveltime tomography

Nonuniqueness in traveltime tomographic velocity analysis is largely the result of insufficiency in model parameterization. Traditional tomography parameterizes the model with nonoverlapping cells. Such single-scale tomography (SST) from inverting traveltimes only may produce underdeterminacy at places of insufficient ray coverage. To cope with the poor and uneven ray coverage, a multiscale tom...

On Crosswell Traveltime Tomography

In this paper, we give a theoretical analysis of the crosswell traveltime tomography. In the single arrival case, we prove that the objective function is smooth, and every critical point is a kinematically correct velocity model. A numerical example is presented to demonstrate the properties we prove and the diierence between traveltime tomography and waveform inversion via the output least squ...

Seismic Traveltime Tomography 1

Interferometric Traveltime Tomography with Closure Phase

The Interferometric Traveltime Tomography (ITT) method was previously shown to be both effective and stable in eliminating either shotor receiver-static errors using synthetic and field data example. In this report, we apply the ”closure phase” theorem to traveltime tomography and test its effectiveness in eliminating both the shotand receiver-static errors simultaneously with synthetic crosswe...

Global Extrema in Traveltime Tomography