def example_model_with_prop_ts_rels(tmp_path):
"""Model with a grid (5x5x3) and properties.
Properties:
- Zone (discrete)
- VPC (discrete)
- Fault block (discrete)
- Facies (discrete)
- NTG (continuous)
- POR (continuous)
- SW (continuous) (recurrent)
"""
model_path = str(tmp_path / 'test_model.epc')
model = Model(create_basics=True,
create_hdf5_ext=True,
epc_file=model_path,
new_epc=True)
model.store_epc(model.epc_file)
grid = grr.RegularGrid(parent_model=model,
origin=(0, 0, 0),
extent_kji=(3, 5, 5),
crs_uuid=rqet.uuid_for_part_root(model.crs_root),
set_points_cached=True)
grid.cache_all_geometry_arrays()
grid.write_hdf5_from_caches(file=model.h5_file_name(file_must_exist=False),
mode='w')
grid.create_xml(ext_uuid=model.h5_uuid(),
title='grid',
write_geometry=True,
add_cell_length_properties=False)
model.store_epc()
zone = np.ones(shape=(5, 5), dtype='int')
zone_array = np.array([zone, zone + 1, zone + 2], dtype='int')
vpc = np.array([[1, 1, 1, 2, 2], [1, 1, 1, 2, 2], [1, 1, 1, 2, 2],
[1, 1, 1, 2, 2], [1, 1, 1, 2, 2]],
dtype='int')
vpc_array = np.array([vpc, vpc, vpc], dtype='int')
facies = np.array([[1, 1, 1, 2, 2], [1, 1, 2, 2, 2], [1, 2, 2, 2, 3],
[2, 2, 2, 3, 3], [2, 2, 3, 3, 3]],
dtype='int')
facies_array = np.array([facies, facies, facies], dtype='int')
perm = np.array([[1, 1, 1, 10, 10], [1, 1, 1, 10, 10], [1, 1, 1, 10, 10],
[1, 1, 1, 10, 10], [1, 1, 1, 10, 10]])
perm_array = np.array([perm, perm, perm], dtype='float')
fb = np.array([[1, 1, 1, 1, 1], [1, 1, 1, 1, 1], [1, 1, 1, 1, 1],
[2, 2, 2, 2, 2], [2, 2, 2, 2, 2]],
dtype='int')
fb_array = np.array([fb, fb, fb], dtype='int')
ntg = np.array([[0, 0.5, 0, 0.5, 0], [0.5, 0, 0.5, 0, 0.5],
[0, 0.5, 0, 0.5, 0], [0.5, 0, 0.5, 0, 0.5],
[0, 0.5, 0, 0.5, 0]])
ntg1_array = np.array([ntg, ntg, ntg])
ntg2_array = np.array([ntg + 0.1, ntg + 0.1, ntg + 0.1])
por = np.array([[1, 1, 1, 1, 1], [0.5, 0.5, 0.5, 0.5,
0.5], [1, 1, 1, 1, 1],
[0.5, 0.5, 0.5, 0.5, 0.5], [1, 1, 1, 1, 1]])
por1_array = np.array([por, por, por])
por2_array = np.array([por - 0.1, por - 0.1, por - 0.1])
sat = np.array([[1, 0.5, 1, 0.5, 1], [1, 0.5, 1, 0.5, 1],
[1, 0.5, 1, 0.5, 1], [1, 0.5, 1, 0.5, 1],
[1, 0.5, 1, 0.5, 1]])
sat1_array = np.array([sat, sat, sat])
sat2_array = np.array([sat, sat, np.where(sat == 0.5, 0.75, sat)])
sat3_array = np.array([
np.where(sat == 0.5, 0.75, sat),
np.where(sat == 0.5, 0.75, sat),
np.where(sat == 0.5, 0.75, sat)
])
collection = rqp.GridPropertyCollection()
collection.set_grid(grid)
ts = rqts.TimeSeries(parent_model=model, first_timestamp='2000-01-01Z')
ts.extend_by_days(365)
ts.extend_by_days(365)
ts.create_xml()
lookup = rqp.StringLookup(parent_model=model,
int_to_str_dict={
1: 'channel',
2: 'interbedded',
3: 'shale'
})
lookup.create_xml()
model.store_epc()
# Add non-varying properties
for array, name, kind, discrete, facet_type, facet in zip(
[zone_array, vpc_array, fb_array, perm_array],
['Zone', 'VPC', 'Fault block', 'Perm'],
['discrete', 'discrete', 'discrete', 'permeability rock'],
[True, True, True, False], [None, None, None, 'direction'],
[None, None, None, 'J']):
collection.add_cached_array_to_imported_list(cached_array=array,
source_info='',
keyword=name,
discrete=discrete,
uom=None,
time_index=None,
null_value=None,
property_kind=kind,
facet_type=facet_type,
facet=facet,
realization=None)
collection.write_hdf5_for_imported_list()
collection.create_xml_for_imported_list_and_add_parts_to_model()
# Add realisation varying properties
for array, name, kind, rel in zip(
[ntg1_array, por1_array, ntg2_array, por2_array],
['NTG', 'POR', 'NTG', 'POR'],
['net to gross ratio', 'porosity', 'net to gross ratio', 'porosity'],
[0, 0, 1, 1]):
collection.add_cached_array_to_imported_list(cached_array=array,
source_info='',
keyword=name,
discrete=False,
uom=None,
time_index=None,
null_value=None,
property_kind=kind,
facet_type=None,
facet=None,
realization=rel)
collection.write_hdf5_for_imported_list()
collection.create_xml_for_imported_list_and_add_parts_to_model()
# Add categorial property
collection.add_cached_array_to_imported_list(cached_array=facies_array,
source_info='',
keyword='Facies',
discrete=True,
uom=None,
time_index=None,
null_value=None,
property_kind='discrete',
facet_type=None,
facet=None,
realization=None)
collection.write_hdf5_for_imported_list()
collection.create_xml_for_imported_list_and_add_parts_to_model(
string_lookup_uuid=lookup.uuid)
# Add time varying properties
for array, ts_index in zip([sat1_array, sat2_array, sat3_array],
[0, 1, 2]):
collection.add_cached_array_to_imported_list(
cached_array=array,
source_info='',
keyword='SW',
discrete=False,
uom=None,
time_index=ts_index,
null_value=None,
property_kind='saturation',
facet_type='what',
facet='water',
realization=None)
collection.write_hdf5_for_imported_list()
collection.create_xml_for_imported_list_and_add_parts_to_model(
time_series_uuid=ts.uuid)
model.store_epc()
return model
def example_model_with_properties(tmp_path):
"""Model with a grid (5x5x3) and properties.
Properties:
- Zone (discrete)
- VPC (discrete)
- Fault block (discrete)
- Facies (discrete)
- NTG (continuous)
- POR (continuous)
- SW (continuous)
"""
model_path = str(tmp_path / 'test_no_rels.epc')
model = Model(create_basics=True,
create_hdf5_ext=True,
epc_file=model_path,
new_epc=True)
model.store_epc(model.epc_file)
grid = grr.RegularGrid(parent_model=model,
origin=(0, 0, 0),
extent_kji=(3, 5, 5),
crs_uuid=rqet.uuid_for_part_root(model.crs_root),
set_points_cached=True)
grid.cache_all_geometry_arrays()
grid.write_hdf5_from_caches(file=model.h5_file_name(file_must_exist=False),
mode='w')
grid.create_xml(ext_uuid=model.h5_uuid(),
title='grid',
write_geometry=True,
add_cell_length_properties=False)
model.store_epc()
zone = np.ones(shape=(5, 5))
zone_array = np.array([zone, zone + 1, zone + 2], dtype='int')
vpc = np.array([[1, 1, 1, 2, 2], [1, 1, 1, 2, 2], [1, 1, 1, 2, 2],
[1, 1, 1, 2, 2], [1, 1, 1, 2, 2]])
vpc_array = np.array([vpc, vpc, vpc])
facies = np.array([[1, 1, 1, 2, 2], [1, 1, 2, 2, 2], [1, 2, 2, 2, 3],
[2, 2, 2, 3, 3], [2, 2, 3, 3, 3]])
facies_array = np.array([facies, facies, facies])
fb = np.array([[1, 1, 1, 1, 1], [1, 1, 1, 1, 1], [1, 1, 1, 1, 1],
[2, 2, 2, 2, 2], [2, 2, 2, 2, 2]])
fb_array = np.array([fb, fb, fb])
ntg = np.array([[0, 0.5, 0, 0.5, 0], [0.5, 0, 0.5, 0, 0.5],
[0, 0.5, 0, 0.5, 0], [0.5, 0, 0.5, 0, 0.5],
[0, 0.5, 0, 0.5, 0]])
ntg_array = np.array([ntg, ntg, ntg])
por = np.array([[1, 1, 1, 1, 1], [0.5, 0.5, 0.5, 0.5,
0.5], [1, 1, 1, 1, 1],
[0.5, 0.5, 0.5, 0.5, 0.5], [1, 1, 1, 1, 1]])
por_array = np.array([por, por, por])
sat = np.array([[1, 0.5, 1, 0.5, 1], [1, 0.5, 1, 0.5, 1],
[1, 0.5, 1, 0.5, 1], [1, 0.5, 1, 0.5, 1],
[1, 0.5, 1, 0.5, 1]])
sat_array = np.array([sat, sat, sat])
perm = np.array([[1, 10, 10, 100, 100], [1, 10, 10, 100, 100],
[1, 10, 10, 100, 100], [1, 10, 10, 100, 100],
[1, 10, 10, 100, 100]])
perm_array = np.array([perm, perm, perm], dtype='float')
perm_v_array = perm_array * 0.1
collection = rqp.GridPropertyCollection()
collection.set_grid(grid)
for array, name, kind, discrete, facet_type, facet in zip(
[
zone_array, vpc_array, fb_array, facies_array, ntg_array,
por_array, sat_array, perm_array, perm_v_array
], [
'Zone', 'VPC', 'Fault block', 'Facies', 'NTG', 'POR', 'SW', 'Perm',
'PERMZ'
], [
'discrete', 'discrete', 'discrete', 'discrete',
'net to gross ratio', 'porosity', 'saturation',
'rock permeability', 'permeability rock'
], [True, True, True, True, False, False, False, False, False],
[None, None, None, None, None, None, None, 'direction', 'direction'],
[None, None, None, None, None, None, None, 'I', 'K']):
collection.add_cached_array_to_imported_list(cached_array=array,
source_info='',
keyword=name,
discrete=discrete,
uom=None,
time_index=None,
null_value=None,
property_kind=kind,
facet_type=facet_type,
facet=facet,
realization=None)
collection.write_hdf5_for_imported_list()
collection.create_xml_for_imported_list_and_add_parts_to_model()
model.store_epc()
return model