def test_minimal_well():
"""Test a dummy well dataset
| segidx 1
"""
one_seg = pd.DataFrame(
{"SEGIDX": [1], "SEGNXT": [None], "SEGBRNO": [1], "SEGPRES": [195.8]}
)
with pytest.raises(ValueError, match="Insufficient topology"):
rft.process_seg_topology(one_seg.drop("SEGIDX", axis="columns"))
m_one_seg = rft.process_seg_topology(one_seg)
assert m_one_seg["LEAF"][0]
assert len(m_one_seg) == 1
assert rft.count_wellbranches(one_seg) == 1
assert rft.split_seg_icd(one_seg)[1].empty
con_data = pd.DataFrame({"CONSEGNO": [1], "PRESSURE": [200.1], "CONPRES": [196.0]})
con_seg = rft.merge_icd_seg_conseg(con_data, m_one_seg)
assert len(con_seg) == 1
assert "CONSEGNO" in con_seg
assert "SEGIDX" in con_seg
con_seg = rft.add_extras(con_seg)
assert "COMPLETION_DP" in con_seg
assert con_seg["COMPLETION_DP"].values[0] == 196.0 - 195.8
assert con_seg["DRAWDOWN"].values[0] == 200.1 - 196.0
assert rft.seg2dicttree(m_one_seg) == {1: {}}
print(rft.pretty_print_well(m_one_seg))
def test_minimal_branched_well():
r"""
| segidx 1
/ \ segidx 2 and 3
"""
two_branch = pd.DataFrame({
"SEGIDX": [1, 2, 3],
"SEGNXT": [None, 1, 1],
"SEGBRNO": [1, 1, 2]
})
con_data = pd.DataFrame({
"CONSEGNO": [2, 3],
"PRESSURE": [301, 302],
"CONPRES": [291, 292]
})
m_two_branch = rft.process_seg_topology(two_branch)
assert len(m_two_branch) == 4 # One extra row for the junction segment
assert sum(m_two_branch["LEAF"]) == 2
assert rft.count_wellbranches(m_two_branch) == 2
assert rft.split_seg_icd(two_branch)[1].empty
con_seg = rft.merge_icd_seg_conseg(con_data, m_two_branch)
# Junction segment has no reservoir connection and is not included
# in the merge.
assert len(con_seg) == 2
assert rft.seg2dicttree(m_two_branch) == {1: {2: {}, 3: {}}}
# Junction segment points to two upstream segments:
assert set(m_two_branch[m_two_branch["SEGIDX"] == 1]
["SEGIDX_upstream"].astype(int)) == {2, 3}
assert int(m_two_branch.loc[0, "SEGIDX_upstream"]) == 2
assert int(m_two_branch.loc[1, "SEGIDX_upstream"]) == 3
def test_longer_branched_icd_well():
r"""Test a well with two connections on each of two laterals,
with an ICD segment for each connection
| segidx 1
* - / \ - * segidx 4 and 2 (lateral1) and 6 and 8
* - | | - * segidx 5 and 3 (lateral1) and 7 and 9
"""
wellseg = {
"SEGIDX": [1] + [2, 3, 4, 5] + [6, 7, 8, 9],
"SEGNXT": [None] + [1, 2, 2, 3] + [1, 6, 6, 7],
"SEGBRNO": [1] + [1, 1, 3, 4] + [2, 2, 5, 6],
}
# Shuffle the segment list randomly, that should not matter:
shuffled = list(range(9))
random.shuffle(shuffled)
print(shuffled)
wellseg = pd.DataFrame(
{segname: [wellseg[segname][idx] for idx in shuffled] for segname in wellseg}
)
con_data = pd.DataFrame(
{
"CONSEGNO": [4, 5, 8, 9],
"PRESSURE": [301, 302, 401, 402],
"CONPRES": [291, 292, 392, 393],
}
)
seg_data = rft.process_seg_topology(wellseg)
assert sum(seg_data["LONELYSEG"]) == 4
assert sum(seg_data["LEAF"]) == 4
assert sum(seg_data["JUNCTION"]) == 6 # 1, 2 and 6 counted twice
assert sum(seg_data["LEAF"]) == 4
(seg_data, icd_data) = rft.split_seg_icd(wellseg)
print(rft.seg2dicttree(wellseg))
print(rft.pretty_print_well(wellseg))
assert len(icd_data) == 4
assert all(icd_data.columns.str.startswith("ICD"))
assert set(icd_data["ICD_SEGIDX"].values) == {4, 5, 8, 9}
assert set(icd_data["ICD_SEGBRNO"].values) == {3, 4, 5, 6}
assert all(icd_data["ICD_SEGBRNO_upstream"].values == [0, 0, 0, 0])
print(seg_data)
assert rft.count_wellbranches(seg_data) == 2
con_seg = rft.merge_icd_seg_conseg(con_data, seg_data, icd_data)
print(con_seg)
assert len(con_seg) == 4
con_seg = rft.add_extras(con_seg)
assert all(con_seg["DRAWDOWN"].values == [10, 10, 9, 9])
