Note
Click here to download the full example code
1.3b: 2-D sections¶
Importing
import gempy as gp
import numpy as np
import matplotlib.pyplot as plt
np.random.seed(1234)
Setup the model¶
geo_model = gp.create_model('Tutorial_ch1-1_Basics')
# Importing the data from CSV-files and setting extent and resolution
data_path = 'https://raw.githubusercontent.com/cgre-aachen/gempy_data/master/'
gp.init_data(geo_model, [0, 2000., 0, 2000., 0, 2000.], [5, 5, 5],
path_o=data_path + "/data/input_data/tut_chapter1/simple_fault_model_orientations.csv",
path_i=data_path + "/data/input_data/tut_chapter1/simple_fault_model_points.csv", default_values=True)
gp.map_stack_to_surfaces(geo_model,
{"Fault_Series": 'Main_Fault',
"Strat_Series": ('Sandstone_2', 'Siltstone',
'Shale', 'Sandstone_1', 'basement')}, remove_unused_series=True)
geo_model.set_is_fault(['Fault_Series'])
Out:
Active grids: ['regular']
Fault colors changed. If you do not like this behavior, set change_color to False.
Add sections¶
pass section dictionary with startpoint, endpoint and resolution for every section:
section_dict = {'section1': ([0, 0], [2000, 2000], [100, 80]),
'section2': ([800, 0], [800, 2000], [150, 100]),
'section3': ([0, 200], [1500, 500], [200, 150])} # p1,p2,resolution
geo_model.set_section_grid(section_dict)
Out:
Active grids: ['regular' 'sections']
Add topography¶
geo_model.set_topography(fd=1.2, d_z=np.array([600, 2000]), resolution=np.array([50, 50]))
Out:
Active grids: ['regular' 'topography' 'sections']
Grid Object. Values:
array([[ 200. , 200. , 200. ],
[ 200. , 200. , 600. ],
[ 200. , 200. , 1000. ],
...,
[1500. , 500. , 1973.15436242],
[1500. , 500. , 1986.57718121],
[1500. , 500. , 2000. ]])
Active grids:
geo_model.get_active_grids()
Out:
array(['regular', 'topography', 'sections'], dtype='<U10')
gp.set_interpolator(geo_model)
Out:
Setting kriging parameters to their default values.
Compiling theano function...
Level of Optimization: fast_compile
Device: cpu
Precision: float64
Number of faults: 1
Compilation Done!
Kriging values:
values
range 3464.1
$C_o$ 285714.29
drift equations [3, 3]
<gempy.core.interpolator.InterpolatorModel object at 0x7fcc46b9b7c0>
sol = gp.compute_model(geo_model, compute_mesh=False)
Out:
/WorkSSD/PythonProjects/gempy/gempy/core/solution.py:173: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
self.geological_map = np.array(
/WorkSSD/PythonProjects/gempy/gempy/core/solution.py:178: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
self.sections = np.array(
gp.plot_2d(geo_model, section_names=['topography'])
Out:
<gempy.plot.visualization_2d.Plot2D object at 0x7fcc46f04580>
gp.plot_2d(geo_model, section_names=['section1'])
plt.show()
sphinx_gallery_thumbnail_number = 4
gp.plot_2d(geo_model, section_names=['section1', 'section2',
'section3', 'topography'],
show_topography=True)
plt.show()
Get polygons of formations in sections¶
from gempy.core.grid_modules import section_utils
polygondict, cdict, extent = section_utils.get_polygon_dictionary(geo_model, 'section1')
this stores the xy points in the sections for every surface.
Out:
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2, 2, 2, 2, 79], dtype=uint8))]}
Look at resulting polygons:¶
import matplotlib.path
import matplotlib.patches as patches
def plot_pathdict(pathdict, cdict, extent, ax=None, surfaces=list(geo_model.surfaces.df['surface'])[:-1][::-1]):
if ax == None:
fig, ax = plt.subplots()
for formation in surfaces:
for path in pathdict.get(formation):
if path !=[]:
if type(path) == matplotlib.path.Path:
patch = patches.PathPatch(path, fill=False, lw=1, edgecolor=cdict.get(formation, 'k'))
ax.add_patch(patch)
elif type(path) == list:
for subpath in path:
assert type(subpath == matplotlib.path.Path)
patch = patches.PathPatch(subpath, fill=False, lw=1, edgecolor=cdict.get(formation, 'k'))
ax.add_patch(patch)
ax.set_ylim(extent[2:4])
ax.set_xlim(extent[:2])
plt.show()
plot_pathdict(polygondict, cdict, extent)
plot_pathdict(polygondict, cdict, extent, surfaces=['basement', 'Main_Fault'])
gp.save_model(geo_model)
Out:
True
Total running time of the script: ( 0 minutes 7.628 seconds)