PySubdiv 1.0: open-source geological modeling and reconstruction by non-manifold subdivision surfaces
<p>Sealed geological models are commonly used as an input to process simulations, for example, in hydrogeological or geomechanical studies. Creating these meshes often requires tedious manual work, and it is therefore difficult to adjust a once-created model. In this work, we propose a flexibl...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2023-06-01
|
| Series: | Geoscientific Model Development |
| Online Access: | https://gmd.copernicus.org/articles/16/3565/2023/gmd-16-3565-2023.pdf |
| Summary: | <p>Sealed geological models are commonly used as an input to process
simulations, for example, in hydrogeological or geomechanical studies.
Creating these meshes often requires tedious manual work, and it is
therefore difficult to adjust a once-created model. In this work, we
propose a flexible framework to create and interact with geological models
using explicit surface representations. The essence of the work lies in the
determination of the control mesh and the definition of semi-sharp-crease
values, which, in combination, enable the representation of complex
structural settings with a low number of control points. We achieve this
flexibility through the adaptation of recent algorithms from the field of
computer graphics to the specific requirements of geological modeling,
specifically the representation of non-manifold topologies and sharp
features. We combine the method with a particle swarm optimization (PSO)
approach to enable the automatic optimization of vertex position and crease
sharpness values. The result of this work is implemented in an open-source
software (PySubdiv) for reconstructing geological structures while resulting
in a model which is (1) sealed/watertight, (2) controllable with a control
mesh and (3) topologically similar to the input geological structure. Also,
the reconstructed model may include a lower number of vertices compared to
the input geological structure, which results in reducing the cost of
modeling and simulation. In addition to enabling a manual adjustment of
sealed geological models, the algorithm also provides a method for the
integration of explicit surface representations in inverse frameworks and
the consideration of uncertainties.</p> |
|---|---|
| ISSN: | 1991-959X 1991-9603 |