First-Arrival Traveltime Tomography With Near-Surface Structural Regularization

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Abstract
In complex near-surface geologic settings, first-arrival traveltime tomography suffers from strong data noise and uneven raypath coverage. To reduce the inversion non-uniqueness, model smoothing is necessary but often without incorporating structural constraints based on seismic images. The reasons include lack of shallow reflections, strong noise, and gradient velocity field with strong lateral variation. We propose to estimate the near-surface structural trend from the velocity solution of deformable-layer tomography (DLT), that inverts for velocity contours directly. Then the structural dips derived from the DLT solution are taken as the structural regularization in the subsequent traveltime tomographic inversion. Tests for the 2011 SAGEEP workshop model illustrate that this DLT-guided structural regularization steers the tomographic inversion toward more accurate near-surface models. The application of the DLT-guided structural regularization to a field data reveals the near-surface geology of a beach area in Qingdao, China. The DLT solution could complement seismic images or other structural information in regularizing tomographic inversion.
Funding Information
  • National Science Foundation of China (42304137, 42241206)
  • Sichuan Science and Technology Program (2024NSFSC0806)

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