2024
DOI: 10.1190/geo2024-0040.1
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Stable neural network-based traveltime tomography using hard-constrained measurements

Mohammad H. Taufik,
Tariq Alkhalifah,
Umair bin Waheed

Abstract: Traveltime tomography, or travel time inversion, has been one of the primary seismological tools for decades and has been used to understand Earth's properties and dynamic processes. An accurate, preferably flexible, eikonal solver to compute the travel time field is at the heart of the inversion process. However, most conventional eikonal solvers suffer from first-order convergence errors and difficulties dealing with irregular computational grids. Physics-informed neural networks (PINNs) have been introduced… Show more

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