2D synthetic hydrothermal models
<p>2D hydrothermal models of 1 km × 1 km in the horizontal and depth directions, with a grid size of 50 × 50, created by TOUGH2 software. The 2D models were used to evaluate physics-informed neural networks in the following paper:</p><p>Ishitsuka, K. and Lin, W. (2023) Physics-informed neural network for inverse modeling of natural-state geothermal systems, Applied Energy, 337, 120855. <a href="https://doi.org/10.1016/j.apenergy.2023.120855">https://doi.org/10.1016/j.apenergy.2023.120855</a></p><p>https://www.sciencedirect.com/science/article/pii/S0306261923002192</p><p>In the files, "x" and "z" indicate horizontal and vertical coordinates in meter. The columns of "pres", "temp" and "log10PER" indicate pressure, temperature and logarithm of permeability, respectively. </p>
ShareScore
44/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 4