Journal
GEOSCIENTIFIC MODEL DEVELOPMENT
Volume 15, Issue 9, Pages 3641-3662Publisher
COPERNICUS GESELLSCHAFT MBH
DOI: 10.5194/gmd-15-3641-2022
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Funding
- Australian Research Council [IC190100031, DE190100431]
- Australian Research Council [IC190100031, DE190100431] Funding Source: Australian Research Council
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Parametric geological models provide interpretable representations of 3D geological structures, and combining them with geophysical data allows for quantifying uncertainty in geological interpretations. The process of rendering parametric geology in a finite-resolution discrete basis is crucial for accurate posterior inference. The Blockworlds code demonstrates a numerical scheme to calculate anti-aliased rock properties for gravity and magnetic sensors, showcasing its impact on the likelihood structure for gravity anomaly.
Parametric geological models such as implicit or kinematic models provide low-dimensional, interpretable representations of 3-D geological structures. Combining these models with geophysical data in a probabilistic joint inversion framework provides an opportunity to directly quantify uncertainty in geological interpretations. For best results, care must be taken with the intermediate step of rendering parametric geology in a finite-resolution discrete basis for the geophysical calculation. Calculating geophysics from naively voxelized geology, as exported from commonly used geological modeling tools, can produce a poor approximation to the true likelihood, degrading posterior inference for structural parameters. We develop a simple integrated Bayesian inversion code, called Blockworlds, showcasing a numerical scheme to calculate anti-aliased rock properties over regular meshes for use with gravity and magnetic sensors. We use Blockworlds to demonstrate anti-aliasing in the context of an implicit model with kinematic action for simple tectonic histories, showing its impact on the structure of the likelihood for gravity anomaly.
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