Note
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Model 2 - AnticlineΒΆ
A simple anticline structure. We start by importing the necessary dependencies:
# Importing GemPy
import gempy as gp
import pandas as pd
pd.set_option('precision', 2)
Creating the model by importing the input data and displaying it:
data_path = 'https://raw.githubusercontent.com/cgre-aachen/gempy_data/master/'
path_to_data = data_path + "/data/input_data/jan_models/"
geo_data = gp.create_data('fold', extent=[0, 1000, 0, 1000, 0, 1000], resolution=[50, 50, 50],
path_o=path_to_data + "model2_orientations.csv",
path_i=path_to_data + "model2_surface_points.csv")
Out:
Active grids: ['regular']
geo_data.get_data().head()
Setting and ordering the units and series:
gp.map_stack_to_surfaces(geo_data, {"Strat_Series": ('rock2', 'rock1'), "Basement_Series": ('basement')})
gp.plot_2d(geo_data, direction=['y'])
Out:
<gempy.plot.visualization_2d.Plot2D object at 0x7fcb8b7774f0>
Calculating the model:
interp_data = gp.set_interpolator(geo_data, theano_optimizer='fast_compile')
Out:
Setting kriging parameters to their default values.
Compiling theano function...
Level of Optimization: fast_compile
Device: cpu
Precision: float64
Number of faults: 0
Compilation Done!
Kriging values:
values
range 1732.05
$C_o$ 71428.57
drift equations [3, 3]
Displaying the result in y and x direction:
gp.plot_2d(geo_data, cell_number=15,
direction='y', show_data=True)
Out:
<gempy.plot.visualization_2d.Plot2D object at 0x7fcb8c06d9a0>
sphinx_gallery_thumbnail_number = 2
gp.plot_2d(geo_data, cell_number=25,
direction='x', show_data=True)
gp.save_model(geo_data)
Out:
True
Total running time of the script: ( 0 minutes 6.009 seconds)