2019 Geothermal Design Challenge¶
All of the code to reproduce our figures and findings is included in the OpenGeoVis/GeothermalDesignChallenge GitHub repository. The website consolidates that code and our finding for others to learn about the the tools we implemented and be able to reproduce our work.
Bane Sullivan has created a suite of open-source Python packages making 3D visualization more accessible to the geoscientific community - enabling researchers to rapidly explore their data, communicate their spatial findings, and facilitate reproducibility amongst stakeholders and colleagues. This portfolio demonstrates the ability to tackle spatial questions through a workflow that incrementally integrates available data and yields more insight as new data is added to a 3D scene.
The tools used in this effort include tools made by Bane and other open-source software common in the geosciences:
PyVista: http://docs.pyvista.org (Bane Sullivan & Alex Kaszynski)
PVGeo: http://pvgeo.org (Bane Sullivan & Whitney Trainor-Guitton)
The Open Mining Format: https://omf.readthedocs.io/en/latest/
omfvista: https://github.com/OpenGeoVis/omfvista (Bane Sullivan)
The modern open-source software paradigm has brought on the rise of countless tools available to researchers - as users and developers of these tools, we wrangled the project data into an emerging, open-source file specification: the Open Mining Format (OMF). Once we collected the FORGE site project data into the OMF specification, we were able to seamlessly work across a range of software packages, creating geostatistical models from the given temperature data, and running inversions of the given geophysical data to produce regional-scale models and data products that could be integrated into a single visualization environment for making spatial decisions.
Our team has made the entire project available for the geothermal community to interact with our findings and reproduce the results shown in this portfolio. Furthermore, a video is included where a team member immerses themselves into the FORGE site’s data via Virtual Reality (VR) and directly engages with the visualizations to address the question of where to place a new production well posed by the US Department of Energy’s Utah FORGE team.