Loading...
Loading...
3D structural geological modeling using implicit methods. Create geological models with faults, folds, and unconformities from surface points and orientations. Use when Claude needs to: (1) Build 3D geological models from surface contacts and orientations, (2) Model faults, unconformities, or intrusions, (3) Compute and visualize subsurface geology, (4) Export models to VTK or numpy arrays, (5) Generate gravity forward models, (6) Create cross-sections or 3D visualizations.
npx skill4agent add steadfastasart/geoscience-skills gempyimport gempy as gp
# Create model
geo_model = gp.create_geomodel(
project_name='Model',
extent=[0, 1000, 0, 1000, 0, 500], # [xmin, xmax, ymin, ymax, zmin, zmax]
resolution=[50, 50, 25]
)
# Add surface points and orientations
gp.add_surface_points(geo_model, x=[100, 500, 900], y=[500, 500, 500],
z=[400, 350, 400], surface='TopFormation')
gp.add_orientations(geo_model, x=[500], y=[500], z=[375],
pole_vector=[0, 0, 1], surface='TopFormation')
# Compute and visualize
gp.set_interpolator(geo_model)
sol = gp.compute_model(geo_model)
gp.plot_2d(geo_model, cell_number=[25], direction='y')| Class | Purpose |
|---|---|
| Main container - holds all model data |
| Manages geological relationships |
| Computation mesh for interpolation |
| Model results (lithology, scalar fields) |
gp.map_stack_to_surfaces(geo_model, mapping={
'Strata1': ['TopFormation', 'BaseFormation'],
'Basement': ['Basement']
})
geo_model.structural_frame.structural_groups[0].structural_relation = \
gp.data.StackRelationType.ERODEgp.add_surface_points(geo_model, x=[300, 300, 300], y=[200, 500, 800],
z=[100, 250, 400], surface='Fault1')
gp.add_orientations(geo_model, x=[300], y=[500], z=[250],
pole_vector=[1, 0, 0.5], surface='Fault1')
gp.map_stack_to_surfaces(geo_model, mapping={
'Fault_Series': ['Fault1'],
'Strata1': ['Layer1', 'Layer2'],
})
geo_model.structural_frame.structural_groups[0].structural_relation = \
gp.data.StackRelationType.FAULTimport pandas as pd
points_df = pd.read_csv('surface_points.csv') # Columns: X, Y, Z, surface
gp.add_surface_points(geo_model, x=points_df['X'], y=points_df['Y'],
z=points_df['Z'], surface=points_df['surface'])
ori_df = pd.read_csv('orientations.csv') # Columns: X, Y, Z, dip, azimuth, surface
gp.add_orientations(geo_model, x=ori_df['X'], y=ori_df['Y'], z=ori_df['Z'],
dip=ori_df['dip'], azimuth=ori_df['azimuth'],
surface=ori_df['surface'])gp.plot_2d(geo_model, cell_number=[25], direction='y', show_data=True)
gp.plot_3d(geo_model, show_data=True, show_surfaces=True) # Requires PyVistasol = gp.compute_model(geo_model)
lithology = sol.raw_arrays.lith_block
lith_3d = lithology.reshape(geo_model.grid.regular_grid.resolution)| Type | Description |
|---|---|
| Younger surface erodes older (unconformity) |
| Younger onlaps onto older |
| Surface is a fault plane |
| Intrusive body |
| Scenario | Recommendation |
|---|---|
| 3D implicit geological modelling from surface data | GemPy - purpose-built, Python-native |
| Complex fold modelling with structural frames | LoopStructural - better fold support |
| Commercial-grade subsurface modelling | SKUA-GOCAD - industry standard, proprietary |
| Quick 2D cross-sections only | GemPy works but may be overkill; consider manual interpolation |
| Need gravity/magnetics forward model from geology | GemPy - has built-in potential field support |
GeoModelgp.add_surface_points()gp.add_orientations()gp.map_stack_to_surfaces()gp.set_interpolator()gp.compute_model()gp.plot_2d()gp.plot_3d()| Issue | Solution |
|---|---|
| Model not computing | Check min 2 points + 1 orientation per surface |
| Artifacts at edges | Extend model extent beyond data |
| Wrong fault offset | Check pole_vector direction |
| Memory errors | Reduce grid resolution |