def test_properties(self):
prop = Property(name="Test Property", desc="This is a simple property.")
self.assertEquals(prop.name, self.name)
self.assertEquals(prop.desc, self.desc)
self.assertEqual(prop.generate_values(), None)
self.assertEqual(prop.update_seed(), None)
mock_seed_generator = MockSeedGenerator(self.seed)
random_prop = RandomProperty(seed_generator=mock_seed_generator,
n=10,
random_number_function=np.random.uniform,
name="Random Property",
desc="Test the random property")
random_prop.generate_values(low=self.min, high=self.max)
random_prop_values = list(random_prop.values)
# reset the mock generator
self.mock_generator.set_seed()
mock_random_values = list(self.mock_generator.get_n_random_numbers(low=self.min, high=self.max))
self.assertEquals(random_prop_values, mock_random_values)
random_prop.calculate_property_statistics()
self.assertAlmostEqual(random_prop.mean, np.mean(mock_random_values))
regional_property = RegionalProperty(MockRegion(name="MockRegion"))
self.assertEqual(regional_property.region.name, "MockRegion")
def test_oil_in_place_calculation(self):
seed = 300
n = 1
model = Model("Simple Model", 666)
area = RandomProperty(name="Area", n=n, random_number_function=mock_random)
porosity = RandomProperty(name="Porosity", n=n, random_number_function=mock_random)
sw = RandomProperty(name="Sw", n=n, random_number_function=mock_random)
config = {"Region A": {"Area": {"value": 2.0},
"Porosity": {"value": 0.5},
"Sw": {"value": 0.1}},
"Region B": {"Area": {"value": 1.0},
"Porosity": {"value": 0.5},
"Sw": {"value": 0.1}}}
#oil in place region a should be 2.0*0.5*(1-0.1) = 1.0*0.9 = 0.9
#oil in place region b should be 1.0*0.5*(1-0.1) = 0.5*0.9 = 0.45
model.add_property(area)
model.add_property(porosity)
model.add_property(sw)
region_a = Region(name="Region A")
region_b = Region(name="Region B")
model.add_region(region_a)
model.add_region(region_b)
model.add_defined_properties_to_regions()
model.run(config)
model.add_regional_property("ooip", OriginalOilInPlace)
for region_name, region in model.regions.items():
if region_name is "Region A":
self.assertAlmostEqual(np.sum(region.properties["ooip"].values), n*0.9, 4)
else:
self.assertAlmostEqual(np.sum(region.properties["ooip"].values), n*0.45, 4)
region.properties["ooip"].calculate_property_statistics()
self.assertNotEqual(region.properties["ooip"].p10, None)
self.assertNotEqual(region.properties["ooip"].p50, None)
self.assertNotEqual(region.properties["ooip"].p90, None)
ooip = ModelOriginalOilInPlace(model)
ooip.generate_values()
self.assertAlmostEqual(np.sum(ooip.values), n*(0.9+0.45), 4)
ooip.calculate_property_statistics()
self.assertNotEqual(ooip.p10, None)
self.assertNotEqual(ooip.p50, None)
self.assertNotEqual(ooip.p90, None)
def test_properties(self):
prop = Property(name="Test Property", desc="This is a simple property.")
self.assertEquals(prop.name, self.name)
self.assertEquals(prop.desc, self.desc)
self.assertEqual(prop.generate_values(), None)
self.assertEqual(prop.update_seed(), None)
mock_seed_generator = MockSeedGenerator(self.seed)
random_prop = RandomProperty(seed_generator=mock_seed_generator,
n=10,
random_number_function=np.random.uniform,
name="Random Property",
desc="Test the random property")
random_prop.generate_values(low=self.min, high=self.max)
random_prop_values = list(random_prop.values)
# reset the mock generator
self.mock_generator.set_seed()
mock_random_values = list(self.mock_generator.get_n_random_numbers(low=self.min, high=self.max))
self.assertEquals(random_prop_values, mock_random_values)
random_prop.calculate_property_statistics()
self.assertAlmostEqual(random_prop.mean, np.mean(mock_random_values))
regional_property = RegionalProperty(MockRegion(name="MockRegion"))
self.assertEqual(regional_property.region.name, "MockRegion")
def __init__(self, seed_generator, *args, **kwargs):
RandomProperty.__init__(self, seed_generator, *args, **kwargs)
def __init__(self, seed_generator, *args, **kwargs):
RandomProperty.__init__(self, seed_generator, *args, **kwargs)
