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)
def test_hcpvfz1():
"""HCPV thickness map."""
# It is important that input are pure numpies, not masked
logger.info("Name is %s", __name__)
grd = Grid()
logger.info("Import roff...")
grd.from_file(ROFF1_GRID, fformat="roff")
# get the hcpv
st = GridProperty()
to = GridProperty()
st.from_file(ROFF1_PROPS, name="Oil_HCPV")
to.from_file(ROFF1_PROPS, name="Oil_bulk")
# get the dz and the coordinates, with no mask (ie get value for outside)
dz = grd.get_dz(mask=False)
xc, yc, _zc = grd.get_xyz(mask=False)
xcv = ma.filled(xc.values3d)
ycv = ma.filled(yc.values3d)
dzv = ma.filled(dz.values3d)
hcpfz = ma.filled(st.values3d, fill_value=0.0)
tov = ma.filled(to.values3d, fill_value=10)
tov[tov < 1.0e-32] = 1.0e-32
hcpfz = hcpfz * dzv / tov
# make a map... estimate from xc and yc
xmin = xcv.min()
xmax = xcv.max()
ymin = ycv.min()
ymax = ycv.max()
xinc = (xmax - xmin) / 50
yinc = (ymax - ymin) / 50
logger.debug(
"xmin xmax ymin ymax, xinc, yinc: %s %s %s %s %s %s",
xmin,
xmax,
ymin,
ymax,
xinc,
yinc,
)
hcmap = RegularSurface(
nx=50,
ny=50,
xinc=xinc,
yinc=yinc,
xori=xmin,
yori=ymin,
values=np.zeros((50, 50)),
)
hcmap2 = RegularSurface(
nx=50,
ny=50,
xinc=xinc,
yinc=yinc,
xori=xmin,
yori=ymin,
values=np.zeros((50, 50)),
)
zp = np.ones((grd.ncol, grd.nrow, grd.nlay))
# now make hcpf map
t1 = xtg.timer()
hcmap.hc_thickness_from_3dprops(
xprop=xcv,
yprop=ycv,
dzprop=dzv,
hcpfzprop=hcpfz,
zoneprop=zp,
zone_minmax=(1, 1),
)
assert hcmap.values.mean() == pytest.approx(1.447, abs=0.1)
t2 = xtg.timer(t1)
logger.info("Speed basic is %s", t2)
t1 = xtg.timer()
hcmap2.hc_thickness_from_3dprops(
xprop=xcv,
yprop=ycv,
dzprop=dzv,
hcpfzprop=hcpfz,
zoneprop=zp,
coarsen=2,
zone_avg=True,
zone_minmax=(1, 1),
mask_outside=True,
)
t2 = xtg.timer(t1)
logger.info("Speed zoneavg coarsen 2 is %s", t2)
hcmap.quickplot(filename="TMP/quickplot_hcpv.png")
hcmap2.quickplot(filename="TMP/quickplot_hcpv_zavg_coarsen.png")
logger.debug(hcmap.values.mean())
