1.3c: Adding topography to geological models

import gempy as gp
import gempy_viewer as gpv
import numpy as np
import os

1. The common procedure to set up a model:

data_path = os.path.abspath('../../')

geo_model: gp.data.GeoModel = gp.create_geomodel(
    project_name='Single_layer_topo',
    extent=[450000, 460000, 70000, 80000, -1000, 500],
    resolution=[50, 50, 50],
    refinement=4,
    importer_helper=gp.data.ImporterHelper(
        path_to_orientations=data_path + "/data/input_data/tut-ch1-7/onelayer_orient.csv",
        path_to_surface_points=data_path + "/data/input_data/tut-ch1-7/onelayer_interfaces.csv",
    )
)

gp.set_section_grid(
    grid=geo_model.grid,
    section_dict={
        'section1': ([450000, 75000], [460000, 75500], [100, 100]),
    }
)

Active grids: GridTypes.NONE|SECTIONS|DENSE

	start	stop	resolution	dist
section1	[450000, 75000]	[460000, 75500]	[100, 100]	10012.492197

2. Adding topography

2 a. Load from raster file

Coming soon: Importing raster data

This feature is not yet available in the current version of GemPy. Probably will be moved to subsurface since coupling it with the geological model does not add much value.

%%

# This is to make it work in sphinx gallery
# cwd = os.getcwd()
# if not 'examples' in cwd:
#     path_dir = os.getcwd() + '/examples/tutorials/ch5_probabilistic_modeling'
# else:
#     path_dir = cwd
#
# fp = path_dir + "/../../data/input_data/tut-ch1-7/bogota.tif"
#
# # %%
# geo_model.set_topography(source='gdal', filepath=fp)
# gp.plot_2d(geo_model, show_topography=True, section_names=['topography'], show_lith=False,
#            show_boundaries=False,
#            kwargs_topography={'cmap': 'gray', 'norm': None}
#            )
# plt.show()

2 b. create fun topography

If there is no topography file, but you think that your model with topography would look significantly cooler, you can use gempys set_topography function to generate a random topography based on a fractal grid:

sphinx_gallery_thumbnail_number = 2

gp.set_topography_from_random(grid=geo_model.grid)
gpv.plot_2d(geo_model, show_topography=True, section_names=['topography'])

[200. 500.]
Active grids: GridTypes.NONE|SECTIONS|TOPOGRAPHY|DENSE

<gempy_viewer.modules.plot_2d.visualization_2d.Plot2D object at 0x7fe4e03f74c0>

It has additional keywords to play around with:

• fd: fractal dimension:

  defaults to 2.0. The higher (try 2.9), the rougher the landscape will be.

• d_z: height difference:

  If none, last 20% of the model in z direction.

• extent:

  extent in xy direction. If none, geo_model.grid.extent is used.

• resolution:

  resolution of the topography array. If none, geo_model.grid.resoution is used. Increasing the resolution leads to much nicer geological maps!

gp.set_topography_from_random(
    grid=geo_model.grid,
    fractal_dimension=1.9,
    d_z=np.array([0, 250]),
    topography_resolution=np.array([200, 200])
)

Active grids: GridTypes.NONE|SECTIONS|TOPOGRAPHY|DENSE

<gempy.core.data.grid_modules.topography.Topography object at 0x7fe4e03f47c0>

Compute model

gp.compute_model(geo_model)

Setting Backend To: AvailableBackends.numpy

Solutions: 4 Octree Levels, 1 DualContouringMeshes

Visualize:

Now, the solutions object does also contain the computed geological map. It can be visualized using the 2D and 3D plotting functionality:

gpv.plot_2d(geo_model, show_topography=True, section_names=['topography'], show_boundaries=False, show_data=True)

<gempy_viewer.modules.plot_2d.visualization_2d.Plot2D object at 0x7fe4f6af0490>

gpv.plot_2d(geo_model, show_topography=True, section_names=['section1'])

/Users/flow/opt/anaconda3/envs/gempy3_pre/lib/python3.10/site-packages/gempy_viewer/API/_plot_2d_sections_api.py:105: UserWarning: Section contacts not implemented yet. We need to pass scalar field for the sections grid
  warnings.warn(

<gempy_viewer.modules.plot_2d.visualization_2d.Plot2D object at 0x7fe484c65fc0>

g3d = gpv.plot_3d(
    model=geo_model,
    show_topography=True,
    show_lith=False,
    show_surfaces=False,
    show_results=False,
    ve=5
)

sphinx_gallery_thumbnail_number = 3

g3d = gpv.plot_3d(
    model=geo_model,
    show_topography=True,
    show_lith=True,
    show_surfaces=True,
    ve=5
)