Parsimonious Velocity Inversion Applied to the Los Angeles Basin, CA

Muir, Jack B.; Clayton, Robert W.; Tsai, Victor C.; Brissaud, Quentin

doi:10.1029/2021jb023103

Cited by 8 publications

(3 citation statements)

References 66 publications

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“…We subsequently perform a joint inversion to infer the depth-dependent velocity structure around the fault shown in Figure 3. To accomplish this, we use several key components of the level set tomography approach outlined in Muir and Tsai (2020) and Muir et al (2022). We parameterize our model as a Gaussian random field that is regularized by a Whittle-Matérn covariance function.…”

Section: A Heterogeneous Shallow Subsurfacementioning

confidence: 99%

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Imaging the Garlock Fault Zone With a Fiber: A Limited Damage Zone and Hidden Bimaterial Contrast

Atterholt,

Zhan,

Yang

et al. 2024

JGR Solid Earth

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The structure of fault zones and the ruptures they host are inextricably linked. Fault zones are narrow, which has made imaging their structure at seismogenic depths a persistent problem. Fiber‐optic seismology allows for low‐maintenance, long‐term deployments of dense seismic arrays, which present new opportunities to address this problem. We use a fiber array that crosses the Garlock Fault to explore its structure. With a multifaceted imaging approach, we peel back the shallow structure around the fault to see how the fault changes with depth in the crust. We first generate a shallow velocity model across the fault with a joint inversion of active source and ambient noise data. Subsequently, we investigate the fault at deeper depths using travel‐time observations from local earthquakes. By comparing the shallow velocity model and the earthquake travel‐time observations, we find that the fault's low‐velocity zone below the top few hundred meters is at most unexpectedly narrow, potentially indicating fault zone healing. Using differential travel‐time measurements from earthquake pairs, we resolve a sharp bimaterial contrast at depth that suggests preferred westward rupture directivity.

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Section: A Heterogeneous Shallow Subsurfacementioning

confidence: 99%

“…To accomplish this, we use several key components of the level set tomography approach outlined in Muir and Tsai (2020) and Muir et al. (2022). We parameterize our model as a Gaussian random field that is regularized by a Whittle‐Matérn covariance function.…”

Section: A Heterogeneous Shallow Subsurfacementioning

confidence: 99%

Imaging the Garlock Fault Zone With a Fiber: A Limited Damage Zone and Hidden Bimaterial Contrast

Atterholt,

Zhan,

Yang

et al. 2024

JGR Solid Earth

View full text Add to dashboard Cite

show abstract

“…The above papers deal with a purely deterministic setting and do not allow for quantification of uncertainties. Recently, methods to estimate geometric uncertainties have been applied to level-set based travel-time tomography (Muir et al 2022). In general, Bayesian inference is a powerful tool to infer geometric uncertainties.…”

Section: Introductionmentioning

confidence: 99%

A Bayesian level set method for identifying subsurface geometries and rheological properties in Stokes flow

Holbach

Gurnis

Stadler

2023

Geophysical Journal International

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Summary We aim to simultaneously infer the shape of subsurface structures and material properties such as density or viscosity from surface observations. Modeling mantle flow using incompressible instantaneous Stokes equations, the problem is formulated as an infinite-dimensional Bayesian inverse problem. Subsurface structures are described as level sets of a smooth auxiliary function, allowing for geometric flexibility. As inverting for subsurface structures from surface observations is inherently challenging, knowledge of plate geometries from seismic images is incorporated into the prior probability distributions. The posterior distribution is approximated using a dimension-robust Markov-chain Monte Carlo sampling method, allowing quantification of uncertainties in inferred parameters and shapes. The effectiveness of the method is demonstrated in two numerical examples with synthetic data. In a model with two higher-density sinkers, their shape and location are inferred with moderate uncertainty, but a trade-off between sinker size and density is found. The uncertainty in the inferred is significantly reduced by combining horizontal surface velocities and normal traction data. For a more realistic subduction problem, we construct tailored level-set priors representing “seismic” knowledge and infer subducting plate geometry with their uncertainty. A trade-off between thickness and viscosity of the plate in the hinge zone is found, consistent with earlier work.

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Quantifying spatial peat depth with seismic micronodes and the implications for carbon stock estimates

Muir,

Jeffery,

Collins

et al. 2024

Science of The Total Environment

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Parsimonious Velocity Inversion Applied to the Los Angeles Basin, CA

Cited by 8 publications

References 66 publications

Imaging the Garlock Fault Zone With a Fiber: A Limited Damage Zone and Hidden Bimaterial Contrast

Imaging the Garlock Fault Zone With a Fiber: A Limited Damage Zone and Hidden Bimaterial Contrast

A Bayesian level set method for identifying subsurface geometries and rheological properties in Stokes flow

Quantifying spatial peat depth with seismic micronodes and the implications for carbon stock estimates

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