Note
Go to the end to download the full example code.
Model 5 - Fault¶
Modeling a fault
This script demonstrates how to create a simple fault model with constant offset using GemPy, a Python-based, open-source library for implicit geological modeling.
# Import necessary libraries
import gempy as gp
import gempy_viewer as gpv
# sphinx_gallery_thumbnail_number = 2
Generate the model¶
Define the path to the input data
data_path = 'https://raw.githubusercontent.com/cgre-aachen/gempy_data/master/'
path_to_data = data_path + "/data/input_data/jan_models/"
# Create a GeoModel instance
geo_model = gp.create_geomodel(
project_name='fault',
extent=[0, 1000, 0, 1000, 0, 1000],
refinement=6,
importer_helper=gp.data.ImporterHelper(
path_to_orientations=path_to_data + "model5_orientations.csv",
path_to_surface_points=path_to_data + "model5_surface_points.csv"
)
)
# Map geological series to surfaces
gp.map_stack_to_surfaces(
gempy_model=geo_model,
mapping_object={
"Fault_Series": 'fault',
"Strat_Series": ('rock2', 'rock1')
}
)
# Define the youngest structural group as a fault
gp.set_is_fault(geo_model, ["Fault_Series"])
# Compute the geological model
gp.compute_model(geo_model)
Surface points hash: 8fe9250462c3e65080818a84d29925378664f6be46301dcdb42ed4047aa3fe6f
Orientations hash: 58d1d28be0c52dfdcedf36c9adc3b231e67d6923554159d6484dba589b0bfc5e
Setting Backend To: AvailableBackends.PYTORCH
GPU enabled. Using device: cuda
GPU device count: 1
Current GPU device: 0
2D visualization¶
Plot the initial input data in the y direction, without computed results
gpv.plot_2d(geo_model, direction=['y'], show_results=False)

<gempy_viewer.modules.plot_2d.visualization_2d.Plot2D object at 0x7f3ed4dfd150>
Plot the computed result in the y and x directions, with data
<gempy_viewer.modules.plot_2d.visualization_2d.Plot2D object at 0x7f3e541e1b50>
3D visualization¶
Display the computed model in 3D
gpv.plot_3d(geo_model, show_lith=True, show_boundaries=True, ve=None)

<gempy_viewer.modules.plot_3d.vista.GemPyToVista object at 0x7f3e3d5cbd90>
Total running time of the script: (0 minutes 3.262 seconds)

