New GemPy Tests Explore Data Density and Grid Resolution Effects
We conducted tests in GemPy using various data densities and grid resolutions to assess their impact on accuracy and smoothness. Higher resolutions and denser measurement points produce more detailed, continuous geological surfaces. Using advanced output from GemPy, we generated a refined 3D volume in PyVista that appears significantly smoother than previous versions. In addition, we developed an interactive slicing tool that allows the model to be sliced at any angle over a full 1080° range, instantly providing cross-sections for inspecting layer continuity. The integration of GeoLaB’s Borehole 1 (see figure) provides a clear reference point, improves spatial understanding, and supports model validation. The complete workflow is now implemented as a Jupyter notebook in the GeoDT GitLab repository and uses Kadi API connections for seamless data management.

GemPy Structural Model 02.