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.
order_series BottomRelation isActive isFault isFinite
Fault_Series 1 Fault True True False
Strat_Series 2 Erosion True False 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']
start stop resolution dist
section1 [0, 0] [2000, 2000] [100, 80] 2828.43
section2 [800, 0] [800, 2000] [150, 100] 2000.00
section3 [0, 200] [1500, 500] [200, 150] 1529.71


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.plot.plot_section_traces(geo_model)
plt.show()
Cell Number: -1 Direction: z
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            3.5e+03
$C_o$            2.9e+05
drift equations   [3, 3]

<gempy.core.interpolator.InterpolatorModel object at 0x7ff9f8f8e910>
sol = gp.compute_model(geo_model, compute_mesh=False)

Out:

/home/travis/build/cgre-aachen/gempy/gempy/core/solution.py:128: 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([values[0][:, l0: l1], values[4][:, l0: l1].astype(float)])
/home/travis/build/cgre-aachen/gempy/gempy/core/solution.py:132: 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([values[0][:, l0: l1], values[4][:, l0: l1].astype(float)])
gp.plot_2d(geo_model, section_names=['topography'])
Geological map

Out:

<gempy.plot.visualization_2d.Plot2D object at 0x7ff9baf01450>
gp.plot_2d(geo_model, section_names=['section1'])
plt.show()
section1

sphinx_gallery_thumbnail_number = 4

gp.plot_2d(geo_model, section_names=['section1', 'section2',
                                     'section3', 'topography'],
           show_topography=True)
plt.show()
section1, section2, section3, Geological map

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')
section1

this stores the xy points in the sections for every surface.

Out:

{'Main_Fault': [Path(array([[ 574.17067095,   12.5       ],
       [ 579.82756057,   24.46977031],
       [ 585.98562123,   37.5       ],
       [ 597.80057151,   62.5       ],
       [ 608.11183182,   84.31824749],
       [ 609.61552173,   87.5       ],
       [ 621.43047197,  112.5       ],
       [ 633.24542214,  137.5       ],
       [ 636.39610307,  144.16672499],
       [ 645.06037231,  162.5       ],
       [ 656.87532242,  187.5       ],
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       [ 715.95007222,  312.5       ],
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       [ 727.76502198,  337.5       ],
       [ 739.57997167,  362.5       ],
       [ 749.53318806,  383.56064086],
       [ 751.39492124,  387.5       ],
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       [ 845.91451478,  587.5       ],
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       [1507.55167761, 1987.5       ]]), None)], 'basement': [Path(array([[  42.42640687,   12.5       ],
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        2,  2,  2,  2,  2,  2,  2,  2,  2,  2,  2,  2,  2,  2,  2,  2,  2,
        2,  2,  2,  2,  2,  2,  2,  2,  2,  2,  2,  2,  2,  2,  2,  2,  2,
        2,  2,  2,  2,  2,  2,  2,  2,  2,  2,  2,  2,  2,  2,  2,  2,  2,
        2,  2,  2,  2,  2,  2,  2,  2,  2,  2,  2,  2,  2,  2,  2,  2,  2,
        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)
ch1 3b cross sections
plot_pathdict(polygondict, cdict, extent, surfaces=['basement', 'Main_Fault'])

gp.save_model(geo_model)
ch1 3b cross sections

Out:

True

Total running time of the script: ( 0 minutes 10.949 seconds)

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