|
| 1 | +import gempy as gp |
| 2 | +import numpy as np |
| 3 | +import os |
| 4 | +input_path = os.path.dirname(__file__) + '/../../examples/data' |
| 5 | + |
| 6 | + |
| 7 | +def test_set_orientations(): |
| 8 | + # Importing the data from CSV-files and setting extent and resolution |
| 9 | + geo_data = gp.create_data_legacy(extent=[0, 2000, 0, 2000, 0, 2000], resolution=[50, 50, 50], |
| 10 | + path_o=input_path + '/input_data/tut_chapter1/simple_fault_model_orientations.csv', |
| 11 | + path_i=input_path + '/input_data/tut_chapter1/simple_fault_model_points.csv') |
| 12 | + |
| 13 | + gp.get_data(geo_data) |
| 14 | + |
| 15 | + # Assigning series to formations as well as their order (timewise) |
| 16 | + gp.map_stack_to_surfaces(geo_data, {"Fault_Series": 'Main_Fault', |
| 17 | + "Strat_Series": ('Sandstone_2', 'Siltstone')}) |
| 18 | + |
| 19 | + geo_data._orientations.create_orientation_from_surface_points(geo_data.surface_points, [0, 1, 2]) |
| 20 | + |
| 21 | + gp.set_orientation_from_surface_points(geo_data, [0, 1, 2]) |
| 22 | + |
| 23 | + |
| 24 | +def test_select_nearest_surface_points(): |
| 25 | + data_path = 'https://raw.githubusercontent.com/cgre-aachen/gempy_data/master/' |
| 26 | + path_to_data = data_path + "/data/input_data/jan_models/" |
| 27 | + |
| 28 | + geo_data = gp.create_data_legacy('fault', extent=[0, 1000, 0, 1000, 0, 1000], |
| 29 | + resolution=[50, 50, 50], |
| 30 | + path_o=path_to_data + "model5_orientations.csv", |
| 31 | + path_i=path_to_data + "model5_surface_points.csv") |
| 32 | + |
| 33 | + # Assigning series to formations as well as their order (timewise) |
| 34 | + gp.map_stack_to_surfaces(geo_data, {"Fault_Series": 'fault', |
| 35 | + "Strat_Series": ('rock2', 'rock1')}) |
| 36 | + geo_data.set_is_fault(['Fault_Series']) |
| 37 | + |
| 38 | + # detect fault names |
| 39 | + f_id = geo_data._faults.df.index.categories[ |
| 40 | + geo_data._faults.df.isFault.values] |
| 41 | + # find fault points |
| 42 | + fault_poi = geo_data._surface_points.df[ |
| 43 | + geo_data._surface_points.df.series.isin(f_id)] |
| 44 | + |
| 45 | + # find neighbours |
| 46 | + knn = gp.select_nearest_surfaces_points(geo_data, fault_poi, 1) |
| 47 | + radius = gp.select_nearest_surfaces_points(geo_data, fault_poi, 200.) |
| 48 | + |
| 49 | + # sort neighbours, necessary for equal testing |
| 50 | + knn = [k.sort_values() for k in knn] |
| 51 | + radius = [r.sort_values() for r in radius] |
| 52 | + |
| 53 | + # define reference |
| 54 | + reference = [[16,17],[16,17],[18,19],[18,19],[20,21],[20,21]] |
| 55 | + |
| 56 | + assert np.array_equal(reference, knn) and np.array_equal(reference, radius) |
| 57 | + |
| 58 | + |
| 59 | +def test_set_orientation_from_neighbours(): |
| 60 | + data_path = 'https://raw.githubusercontent.com/cgre-aachen/gempy_data/master/' |
| 61 | + path_to_data = data_path + "/data/input_data/jan_models/" |
| 62 | + |
| 63 | + geo_data = gp.create_data_legacy('fault', extent=[0, 1000, 0, 1000, 0, 1000], |
| 64 | + resolution=[50, 50, 50], |
| 65 | + path_o=path_to_data + "model5_orientations.csv", |
| 66 | + path_i=path_to_data + "model5_surface_points.csv") |
| 67 | + |
| 68 | + # Assigning series to formations as well as their order (timewise) |
| 69 | + gp.map_stack_to_surfaces(geo_data, {"Fault_Series": 'fault', |
| 70 | + "Strat_Series": ('rock2', 'rock1')}) |
| 71 | + geo_data.set_is_fault(['Fault_Series']) |
| 72 | + |
| 73 | + # detect fault names |
| 74 | + f_id = geo_data._faults.df.index.categories[ |
| 75 | + geo_data._faults.df.isFault.values] |
| 76 | + # find fault points |
| 77 | + fault_poi = geo_data._surface_points.df[ |
| 78 | + geo_data._surface_points.df.series.isin(f_id)] |
| 79 | + # find neighbours |
| 80 | + neighbours = gp.select_nearest_surfaces_points(geo_data, fault_poi, 5) |
| 81 | + # calculate one fault orientation |
| 82 | + gp.set_orientation_from_neighbours(geo_data, neighbours[1]) |
| 83 | + # find the calculated orientation |
| 84 | + test = geo_data._orientations.df.sort_index().iloc[-1][['dip', 'azimuth']].values |
| 85 | + |
| 86 | + # calculate reference |
| 87 | + reference = [90-np.arctan(0.5)/np.pi*180, 90] |
| 88 | + |
| 89 | + assert np.array_equal(reference, test) |
| 90 | + |
| 91 | + |
| 92 | +def test_set_orientation_from_neighbours_all(): |
| 93 | + data_path = 'https://raw.githubusercontent.com/cgre-aachen/gempy_data/master/' |
| 94 | + path_to_data = data_path + "/data/input_data/jan_models/" |
| 95 | + |
| 96 | + geo_data = gp.create_data_legacy('fault', extent=[0, 1000, 0, 1000, 0, 1000], |
| 97 | + resolution=[50, 50, 50], |
| 98 | + path_o=path_to_data + "model5_orientations.csv", |
| 99 | + path_i=path_to_data + "model5_surface_points.csv") |
| 100 | + |
| 101 | + # count orientations before orientation calculation |
| 102 | + length_pre = geo_data._orientations.df.shape[0] |
| 103 | + |
| 104 | + # find neighbours |
| 105 | + neighbours = gp.select_nearest_surfaces_points(geo_data, geo_data._surface_points.df, 2) |
| 106 | + # calculate all fault orientations |
| 107 | + gp.set_orientation_from_neighbours_all(geo_data, neighbours) |
| 108 | + |
| 109 | + # count orientations after orientation calculation |
| 110 | + length_after = geo_data._orientations.df.shape[0] |
| 111 | + |
| 112 | + assert np.array_equal(geo_data._surface_points.df.shape[0], |
| 113 | + length_after-length_pre) |
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