def test_propstatset():
qcp = QCProperties()
qcp.get_grid_statistics(GRIDDATA)
qcp.get_well_statistics(WELLDATA)
qcp.get_bwell_statistics(BWELLDATA)
assert len(qcp.dataframe["ID"].unique()) == 3
def test_auto_combination(self, data_grid, data_wells, data_bwells):
"""Tests combining statistic """
qcp = QCProperties()
qcp.get_grid_statistics(data_grid)
assert len(qcp.dataframe["ID"].unique()) == 1
qcp.get_well_statistics(data_wells)
assert len(qcp.dataframe["ID"].unique()) == 2
qcp.get_bwell_statistics(data_bwells)
assert len(qcp.dataframe["ID"].unique()) == 3
def test_propstatset_auto_combination():
qcp = QCProperties()
qcp.get_grid_statistics(GRIDDATA)
assert len(qcp.dataframe["ID"].unique()) == 1
qcp.get_well_statistics(WELLDATA)
assert len(qcp.dataframe["ID"].unique()) == 2
qcp.get_bwell_statistics(BWELLDATA, reuse=True)
assert len(qcp.dataframe["ID"].unique()) == 3
def test_full_dataframe_wells():
data = data_orig_wells.copy()
qcp = QCProperties()
stat = qcp.get_well_statistics(data)
assert set(stat.property_dataframe.columns) == set(
["ZONE", "PERM", "PORO", "FACIES"])
assert stat.property_dataframe["PORO"].mean() == pytest.approx(0.1534,
abs=0.001)
def test_wells(self, data_wells):
"""Test extracting statsitics from well logs"""
qcp = QCProperties()
qcp.get_well_statistics(data_wells)
assert set(qcp.dataframe["PROPERTY"].unique()) == set(["PORO", "PERM"])
assert set(qcp.dataframe["ZONE"].unique()) == set([
"Above_TopUpperReek",
"Below_TopLowerReek",
"Below_TopMidReek",
"Below_TopUpperReek",
"Below_BaseLowerReek",
"Total",
])
row = qcp.dataframe[(qcp.dataframe["ZONE"] == "Total")
& (qcp.dataframe["FACIES"] == "Total")
& (qcp.dataframe["PROPERTY"] == "PORO")]
assert row["Avg"].values == pytest.approx(0.1539, abs=0.001)
assert row["Max"].values == pytest.approx(0.3661, abs=0.001)
def test_statistics_wells():
data = data_orig_wells.copy()
data["name"] = "Raw_Logs"
qcp = QCProperties()
stat = qcp.get_well_statistics(data)
stat = qcp.get_well_statistics(data)
assert set(stat.dataframe.columns) == set([
"Avg_Weighted",
"Avg",
"FACIES",
"Max",
"Min",
"P10",
"P90",
"PROPERTY",
"Stddev",
"ZONE",
"SOURCE",
"ID",
])
assert list(stat.dataframe["ID"].unique())[0] == "Raw_Logs"
assert set(stat.dataframe["PROPERTY"].unique()) == set(["PORO", "PERM"])
assert stat.dataframe[stat.dataframe["PROPERTY"] ==
"PORO"]["Avg"].max() == pytest.approx(0.3059,
abs=0.001)
assert set(stat.dataframe["ZONE"].unique()) == set([
"Above_TopUpperReek",
"Below_TopLowerReek",
"Below_TopMidReek",
"Below_TopUpperReek",
"Below_BaseLowerReek",
"Total",
])
row = stat.dataframe[(stat.dataframe["ZONE"] == "Total")
& (stat.dataframe["FACIES"] == "Total")
& (stat.dataframe["PROPERTY"] == "PORO")]
assert row["Avg"].values == pytest.approx(0.1539, abs=0.001)
def test_filters_wells():
data = data_orig_wells.copy()
data["selectors"] = {
"ZONE": {
"name":
"Zonelog",
"exclude": [
"Below_TopMidReek",
"Below_TopLowerReek",
"Below_BaseLowerReek",
],
},
"FACIES": {
"name": "Facies",
"include": ["Crevasse", "Channel"]
},
}
qcp = QCProperties()
stat = qcp.get_well_statistics(data)
assert set(["Crevasse", "Channel",
"Total"]) == set(stat.dataframe["FACIES"].unique())
assert set(stat.dataframe["ZONE"].unique()) == set(
["Above_TopUpperReek", "Below_TopUpperReek", "Total"])
