def test_avg02():
"""Make average map from Reek Eclipse."""
grd = Grid()
grd.from_file(GFILE2, fformat="egrid")
# get the poro
po = GridProperty()
po.from_file(IFILE2, fformat="init", name="PORO", grid=grd)
# get the dz and the coordinates
dz = grd.get_dz(mask=False)
xc, yc, _zc = grd.get_xyz(mask=False)
# get actnum
actnum = grd.get_actnum()
# convert from masked numpy to ordinary
xcuse = np.copy(xc.values3d)
ycuse = np.copy(yc.values3d)
dzuse = np.copy(dz.values3d)
pouse = np.copy(po.values3d)
# dz must be zero for undef cells
dzuse[actnum.values3d < 0.5] = 0.0
pouse[actnum.values3d < 0.5] = 0.0
# make a map... estimate from xc and yc
zuse = np.ones((xcuse.shape))
avgmap = RegularSurface(
nx=200,
ny=250,
xinc=50,
yinc=50,
xori=457000,
yori=5927000,
values=np.zeros((200, 250)),
)
avgmap.avg_from_3dprop(
xprop=xcuse,
yprop=ycuse,
zoneprop=zuse,
zone_minmax=(1, 1),
mprop=pouse,
dzprop=dzuse,
truncate_le=None,
)
# add the faults in plot
fau = Polygons(FFILE1, fformat="zmap")
fspec = {"faults": fau}
avgmap.quickplot(filename="TMP/tmp_poro2.png",
xlabelrotation=30,
faults=fspec)
avgmap.to_file("TMP/tmp.poro.gri", fformat="irap_ascii")
logger.info(avgmap.values.mean())
assert avgmap.values.mean() == pytest.approx(0.1653, abs=0.01)
def test_avg03():
"""Make average map from Reek Eclipse, speed up by zone_avg."""
g = Grid()
g.from_file(gfile2, fformat="egrid")
# get the poro
po = GridProperty()
po.from_file(ifile2, fformat='init', name='PORO', grid=g)
# get the dz and the coordinates
dz = g.get_dz(mask=False)
xc, yc, zc = g.get_xyz(mask=False)
# get actnum
actnum = g.get_actnum()
actnum = actnum.get_npvalues3d()
# convert from masked numpy to ordinary
xcuse = xc.get_npvalues3d()
ycuse = yc.get_npvalues3d()
dzuse = dz.get_npvalues3d(fill_value=0.0)
pouse = po.get_npvalues3d(fill_value=0.0)
# dz must be zero for undef cells
dzuse[actnum < 0.5] = 0.0
pouse[actnum < 0.5] = 0.0
# make a map... estimate from xc and yc
zuse = np.ones((xcuse.shape))
avgmap = RegularSurface(nx=200, ny=250, xinc=50, yinc=50,
xori=457000, yori=5927000,
values=np.zeros((200, 250)))
avgmap.avg_from_3dprop(xprop=xcuse, yprop=ycuse, zoneprop=zuse,
zone_minmax=(1, 1),
mprop=pouse, dzprop=dzuse,
truncate_le=None, zone_avg=True)
# add the faults in plot
fau = Polygons(ffile1, fformat='zmap')
fspec = {'faults': fau}
avgmap.quickplot(filename='TMP/tmp_poro3.png', xlabelrotation=30,
faults=fspec)
avgmap.to_file('TMP/tmp.poro3.gri', fformat='irap_ascii')
logger.info(avgmap.values.mean())
assert avgmap.values.mean() == pytest.approx(0.1653, abs=0.01)
