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September 10, 2025Geophysical Journal InternationalOpen Access

A discrete adjoint method for deterministic and probabilistic eikonal-equation-based inversion of traveltime for velocity and source location

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Authors

AZAndrea ZuninoPlanetary Science Institute SKScott KeatingPlanetary Science Institute AFAndreas FichtnerInstitute of Geophysics

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Implication

This work develops a discrete adjoint method to efficiently solve inverse problems in seismic modeling, highlighting joint inversion of velocity and source location.

Key Points

Our methodology demonstrates improved accuracy in velocity structure assessment and source location determination.
Using the discrete adjoint method, we compute gradients for both deterministic optimization and probabilistic Bayesian inference.
The second-order fast-marching method enables efficient solutions of the forward problem across arbitrary source and receiver positions.
Applications validate our framework over synthetic examples in both 2D and 3D configurations.

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Zunino et al. (2025) studied this question.

synapsesocial.com/papers/68c1ae7f54b1d3bfb60e6bbd https://doi.org/10.1093/gji/ggaf283

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Implication

This work develops a discrete adjoint method to efficiently solve inverse problems in seismic modeling, highlighting joint inversion of velocity and source location.

A discrete adjoint method for deterministic and probabilistic eikonal-equation-based inversion of traveltime for velocity and source location

Discussion

Member takes

Implication

Key Points

Cite This Study

A discrete adjoint method for deterministic and probabilistic eikonal-equation-based inversion of traveltime for velocity and source location

Discussion

Member takes

Implication

Key Points

Cite This Study

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