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test_mitchell.py
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from typing import List
import numpy as np
from scipy.spatial import Delaunay # pylint: disable=no-name-in-module
from flownet.network_model._mitchell import (
mitchell_best_candidate,
scale_convex_hull_perforations,
)
from flownet.network_model._hull import check_in_hull
from src.flownet.utils.types import Coordinate
def test_mitchells_3d() -> None:
well_perforations_3d = [
[36.0, 452.0, 4014.0],
[236.0, 420.0, 4014.0],
[12.0, 276.0, 4014.0],
[212.0, 228.0, 4014.0],
[396.0, 276.0, 4014.0],
[60.0, 68.0, 4014.0],
[252.0, 12.0, 4014.0],
[452.0, 44.0, 4014.0],
[124.0, 340.0, 4002.0],
[276.0, 316.0, 4002.0],
[180.0, 124.0, 4002.0],
[340.0, 140.0, 4002.0],
]
num_added_flow_nodes = 10
coordinates: List[Coordinate] = [
tuple(elem)
for elem in mitchell_best_candidate(
well_perforations_3d,
num_added_flow_nodes=num_added_flow_nodes,
num_candidates=100,
hull_factor=1.0,
concave_hull_bounding_boxes=None,
random_seed=999,
mitchell_mode="normal",
)
]
x_wells = [x[0] for x in well_perforations_3d]
y_wells = [y[1] for y in well_perforations_3d]
z_wells = [z[2] for z in well_perforations_3d]
assert len(coordinates) == (len(well_perforations_3d) + num_added_flow_nodes)
assert np.all([x[0] >= min(x_wells) for x in coordinates])
assert np.all([x[0] <= max(x_wells) for x in coordinates])
assert np.all([y[1] >= min(y_wells) for y in coordinates])
assert np.all([y[1] <= max(y_wells) for y in coordinates])
assert np.all([z[2] >= min(z_wells) for z in coordinates])
assert np.all([z[2] <= max(z_wells) for z in coordinates])
# Also check for the fast mitchell algorithm
coordinates_fast: List[Coordinate] = [
tuple(elem)
for elem in mitchell_best_candidate(
well_perforations_3d,
num_added_flow_nodes=num_added_flow_nodes,
num_candidates=100,
hull_factor=1.0,
concave_hull_bounding_boxes=None,
random_seed=999,
mitchell_mode="fast",
)
]
assert len(coordinates_fast) == (len(well_perforations_3d) + num_added_flow_nodes)
assert np.all([x[0] >= min(x_wells) for x in coordinates_fast])
assert np.all([x[0] <= max(x_wells) for x in coordinates_fast])
assert np.all([y[1] >= min(y_wells) for y in coordinates_fast])
assert np.all([y[1] <= max(y_wells) for y in coordinates_fast])
assert np.all([z[2] >= min(z_wells) for z in coordinates_fast])
assert np.all([z[2] <= max(z_wells) for z in coordinates_fast])
def test_mitchells_2d() -> None:
well_perforations_2d = [
[36.0, 452.0, 4002.0],
[236.0, 420.0, 4002.0],
[12.0, 276.0, 4002.0],
[212.0, 228.0, 4002.0],
[396.0, 276.0, 4002.0],
[60.0, 68.0, 4002.0],
[252.0, 12.0, 4002.0],
[452.0, 44.0, 4002.0],
[124.0, 340.0, 4002.0],
[276.0, 316.0, 4002.0],
[180.0, 124.0, 4002.0],
[340.0, 140.0, 4002.0],
]
num_added_flow_nodes = 10
coordinates: List[Coordinate] = [
tuple(elem)
for elem in mitchell_best_candidate(
well_perforations_2d,
num_added_flow_nodes=num_added_flow_nodes,
num_candidates=100,
hull_factor=1.0,
concave_hull_bounding_boxes=None,
random_seed=999,
mitchell_mode="normal",
)
]
x_wells = [x[0] for x in well_perforations_2d]
y_wells = [y[1] for y in well_perforations_2d]
z_wells = [z[2] for z in well_perforations_2d]
assert len(coordinates) == (len(well_perforations_2d) + num_added_flow_nodes)
assert np.all([x[0] >= min(x_wells) for x in coordinates])
assert np.all([x[0] <= max(x_wells) for x in coordinates])
assert np.all([y[1] >= min(y_wells) for y in coordinates])
assert np.all([y[1] <= max(y_wells) for y in coordinates])
assert np.all([z[2] == z_wells[0] for z in coordinates])
# Also check for the fast mitchell algorithm
coordinates_fast: List[Coordinate] = [
tuple(elem)
for elem in mitchell_best_candidate(
well_perforations_2d,
num_added_flow_nodes=num_added_flow_nodes,
num_candidates=100,
hull_factor=1.0,
concave_hull_bounding_boxes=None,
random_seed=999,
mitchell_mode="fast",
)
]
assert len(coordinates_fast) == (len(well_perforations_2d) + num_added_flow_nodes)
assert np.all([x[0] >= min(x_wells) for x in coordinates_fast])
assert np.all([x[0] <= max(x_wells) for x in coordinates_fast])
assert np.all([y[1] >= min(y_wells) for y in coordinates_fast])
assert np.all([y[1] <= max(y_wells) for y in coordinates_fast])
assert np.all([z[2] == z_wells[0] for z in coordinates_fast])
def test_hull_factor_mitchell() -> None:
well_perforations_2d = [
[36.0, 452.0, 4002.0],
[236.0, 420.0, 4002.0],
[12.0, 276.0, 4002.0],
[212.0, 228.0, 4002.0],
[396.0, 276.0, 4002.0],
[60.0, 68.0, 4002.0],
[252.0, 12.0, 4002.0],
[452.0, 44.0, 4002.0],
[124.0, 340.0, 4002.0],
[276.0, 316.0, 4002.0],
[180.0, 124.0, 4002.0],
[340.0, 140.0, 4002.0],
]
num_added_flow_nodes = 10
hull_factor = 2.0
coordinates: List[Coordinate] = [
tuple(elem)
for elem in mitchell_best_candidate(
well_perforations_2d,
num_added_flow_nodes=num_added_flow_nodes,
hull_factor=hull_factor,
num_candidates=100,
concave_hull_bounding_boxes=None,
random_seed=999,
mitchell_mode="normal",
)
]
x_hull, y_hull, z_hull = scale_convex_hull_perforations(
well_perforations_2d, hull_factor
)
assert len(coordinates) == (len(well_perforations_2d) + num_added_flow_nodes)
assert np.all([x[0] >= min(x_hull) for x in coordinates])
assert np.all([x[0] <= max(x_hull) for x in coordinates])
assert np.all([y[1] >= min(y_hull) for y in coordinates])
assert np.all([y[1] <= max(y_hull) for y in coordinates])
assert np.all([z[2] == z_hull[0] for z in coordinates])
# Also check for the fast mitchell algorithm
coordinates_fast: List[Coordinate] = [
tuple(elem)
for elem in mitchell_best_candidate(
well_perforations_2d,
num_added_flow_nodes=num_added_flow_nodes,
hull_factor=hull_factor,
num_candidates=100,
concave_hull_bounding_boxes=None,
random_seed=999,
mitchell_mode="fast",
)
]
assert len(coordinates_fast) == (len(well_perforations_2d) + num_added_flow_nodes)
assert np.all([x[0] >= min(x_hull) for x in coordinates_fast])
assert np.all([x[0] <= max(x_hull) for x in coordinates_fast])
assert np.all([y[1] >= min(y_hull) for y in coordinates_fast])
assert np.all([y[1] <= max(y_hull) for y in coordinates_fast])
assert np.all([z[2] == z_hull[0] for z in coordinates_fast])
def test_nodes_in_reservoir_volume_mitchells() -> None:
well_perforations_3d = [
[0.5, 0.5, 1.0],
[0.5, 2.5, 0.5],
[1.5, 5.5, 1.5],
[3.5, 0.5, 1.0],
]
concave_hull_bounding_boxes = np.array(
[
[0.0, 2.0, 0.0, 2.0, 0.0, 2.0],
[2.0, 3.0, 0.0, 2.0, 0.0, 2.0],
[3.0, 5.0, 0.0, 2.0, 0.0, 2.0],
[0.0, 2.0, 2.0, 4.0, 0.0, 2.0],
[0.0, 2.0, 4.0, 6.0, 0.0, 2.0],
[2.0, 5.0, 4.0, 6.0, 0.0, 2.0],
[5.0, 7.0, 4.0, 6.0, 0.0, 2.0],
[5.0, 20.0, 6.0, 20.0, 0.0, 2.0],
]
)
coordinates: List[Coordinate] = [
tuple(elem)
for elem in mitchell_best_candidate(
well_perforations_3d,
num_added_flow_nodes=20,
num_candidates=500,
hull_factor=1.0,
place_nodes_in_volume_reservoir=True,
concave_hull_bounding_boxes=concave_hull_bounding_boxes,
random_seed=999,
mitchell_mode="normal",
)
]
perforation_hull = Delaunay(np.array(well_perforations_3d))
in_hull_perforations = perforation_hull.find_simplex(np.array(coordinates))
in_hull_volume = check_in_hull(concave_hull_bounding_boxes, np.array(coordinates))
assert in_hull_volume.all()
assert any(x == -1 for x in in_hull_perforations)
# Also check for the fast mitchell algorithm
coordinates_fast: List[Coordinate] = [
tuple(elem)
for elem in mitchell_best_candidate(
well_perforations_3d,
num_added_flow_nodes=20,
num_candidates=500,
hull_factor=1.0,
place_nodes_in_volume_reservoir=True,
concave_hull_bounding_boxes=concave_hull_bounding_boxes,
random_seed=999,
mitchell_mode="fast",
)
]
in_hull_perforations_fast = perforation_hull.find_simplex(
np.array(coordinates_fast)
)
in_hull_volume = check_in_hull(
concave_hull_bounding_boxes, np.array(coordinates_fast)
)
assert in_hull_volume.all()
assert any(x == -1 for x in in_hull_perforations_fast)