def test_perflog_vs_grid_asfiles():
"""
Testing the perforation log as zonelog filter vs grid functionality using files.
When a perflog is present, it means in this example
that all intervals within a PERFLOG range will have a zonelog vs grid check,
i.e. the PERFLOG acts a contrain/filter. In intervals with missing PERFLOG,
or if PERFLOG is outside range, then zonelog vs grid checks is ignored.
"""
mydata = DATA1.copy()
mydata["perflog"] = {"name": PERFLOGNAME, "range": [1, 5]}
wellcheck = qcf.WellZonationVsGrid()
wellcheck.run(mydata)
dfr = pd.read_csv(REPORT, index_col="WELL")
print(dfr)
assert dfr.loc["OP_1_PERF", "MATCH%"] == pytest.approx(80.701, 0.01)
pathlib.Path(REPORT).unlink()
pathlib.Path(SOMEYAML).unlink()
def test_qcforward_wzonation_vs_grid_stops(tmp_path):
"""Test wzonation vs grid inside RMS, and here it will STOP."""
# ==================================================================================
# qcforward well vs grid (mimic python inside RMS input!)
# pylint: disable=invalid-name
from fmu.tools import qcforward
PRJ1 = PRJ
WELLS = ["OP.*"]
ZONELOGNAME = "Zonelog"
TRAJ = "My trajectory"
LOGRUN = "log"
GRIDNAME = "Simgrid"
ZONEGRIDNAME = "Zone"
DRANGE = [1300, 3200]
ZLOGRANGE = [1, 3]
ZLOGSHIFT = 0
REPORTPATH = tmp_path / "well_vs_grid.csv"
ACT = [
{
"warn": "any < 90",
"stop": "any < 70"
},
{
"warn": "all < 95",
"stop": "all < 80"
},
]
qcjob = qcforward.WellZonationVsGrid()
def check():
usedata = {
"wells": {
"names": WELLS,
"logrun": LOGRUN,
"trajectory": TRAJ
},
"zonelog": {
"name": ZONELOGNAME,
"range": ZLOGRANGE,
"shift": ZLOGSHIFT
},
"grid": GRIDNAME,
"depthrange": DRANGE,
"gridprops": [ZONEGRIDNAME],
"actions": ACT,
"report": REPORTPATH,
"nametag": "ZONELOG",
}
qcjob.run(usedata, project=PRJ1)
with pytest.raises(SystemExit):
check()
def test_zonelog_vs_grid_asfiles_reuse_instance():
"""Testing reusing the instance"""
newdata = DATA1.copy()
newdata["actions"] = [{"warn": "anywell < 33%", "stop": "anywell < 22%"}]
job = qcf.WellZonationVsGrid()
job.run(DATA1)
job.run(newdata, reuse=True)
pathlib.Path(REPORT).unlink()
pathlib.Path(SOMEYAML).unlink()
def test_qcforward_wzonation_vs_grid_runs_ok(tmp_path):
"""Test wzonation vs grid inside RMS, and here it will run OK."""
# ==================================================================================
# qcforward well vs grid (mimic python inside RMS input!)
# pylint: disable=invalid-name
from fmu.tools import qcforward
PRJ1 = PRJ
WELLS = ["OP.*"]
ZONELOGNAME = "Zonelog"
TRAJ = "My trajectory"
LOGRUN = "log"
GRIDNAME = "Simgrid"
ZONEGRIDNAME = "Zone"
DRANGE = [1300, 3200]
ZLOGRANGE = [1, 3]
ZLOGSHIFT = 0
REPORTPATH = tmp_path / "well_vs_grid.csv"
ACT = [
{
"warn": "any < 80",
"stop": "any < 50"
},
{
"warn": "all < 85",
"stop": "all < 40"
},
]
qcjob = qcforward.WellZonationVsGrid()
def check():
usedata = {
"wells": {
"names": WELLS,
"logrun": LOGRUN,
"trajectory": TRAJ
},
"zonelog": {
"name": ZONELOGNAME,
"range": ZLOGRANGE,
"shift": ZLOGSHIFT
},
"grid": GRIDNAME,
"depthrange": DRANGE,
"gridprops": [ZONEGRIDNAME],
"actions": ACT,
"report": REPORTPATH,
"nametag": "ZONELOG",
}
qcjob.run(usedata, project=PRJ1)
check()
result = pd.read_csv(REPORTPATH).set_index("WELL")
assert result.loc["OP_1_PERF", "MATCH%"] == pytest.approx(70.588235)
assert result.loc["all", "MATCH%"] == pytest.approx(67.207573)