TY  - JOUR
AB  - 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.
AU  - Scalzo, R
AU  - Lindsay, M
AU  - Jessell, M
AU  - Pirot, G
AU  - Giraud, J
AU  - Cripps, E
AU  - Cripps, S
DA  - 2022
DO  - 10.5194/gmd-15-3641-2022
EP  - 3662
JO  - Geoscientific Model Development
PB  - Copernicus GmbH
PY  - 2022
SP  - 3641
TI  - Blockworlds 0.1. 0: a demonstration of anti-aliased geophysics for probabilistic inversions of implicit and kinematic geological models
VL  - 15
Y1  - 2022
Y2  - 2026/07/22
ER  -