def test_regularProduction(self):
sum = EclSum(self.case)
with self.assertRaises(TypeError):
trange = TimeVector.createRegular( sum.start_time , sum.end_time , "1M" )
prod = sum.blockedProduction("FOPR" , trange)
with self.assertRaises(KeyError):
trange = TimeVector.createRegular( sum.start_time , sum.end_time , "1M" )
prod = sum.blockedProduction("NoNotThis" , trange)
trange = sum.timeRange(interval = "2Y")
self.assertTrue( trange[0] == datetime.date( 2000 , 1 , 1 ))
self.assertTrue( trange[-1] == datetime.date( 2006 , 1 , 1 ))
trange = sum.timeRange(interval = "5Y")
self.assertTrue( trange[0] == datetime.date( 2000 , 1 , 1 ))
self.assertTrue( trange[-1] == datetime.date( 2005 , 1 , 1 ))
trange = sum.timeRange(interval = "6M")
wprod1 = sum.blockedProduction("WOPT:OP_1" , trange)
wprod2 = sum.blockedProduction("WOPT:OP_2" , trange)
wprod3 = sum.blockedProduction("WOPT:OP_3" , trange)
wprod4 = sum.blockedProduction("WOPT:OP_4" , trange)
wprod5 = sum.blockedProduction("WOPT:OP_5" , trange)
fprod = sum.blockedProduction("FOPT" , trange)
gprod = sum.blockedProduction("GOPT:OP" , trange)
wprod = wprod1 + wprod2 + wprod3 + wprod4 + wprod5
for (w,f,g) in zip(wprod, fprod,gprod):
self.assertFloatEqual( w , f )
self.assertFloatEqual( w , g )
def test_Heidrun(self):
sum = EclSum( self.createTestPath("Equinor/ECLIPSE/Heidrun/Summary/FF12_2013B3_CLEAN_RS"))
self.assertEqual( 452 , len(sum))
self.assertFloatEqual( 1.8533144e+8 , sum.last_value("FOPT"))
trange = sum.timeRange( start = datetime.date( 2015 , 1 , 1), interval = "1M")
self.assertTrue( trange[0] == datetime.date( 2016 , 2 , 1 ))
for t in trange:
sum.get_interp( "FOPT" , date = t )
def test_Heidrun(self):
sum = EclSum( self.createTestPath("Statoil/ECLIPSE/Heidrun/Summary/FF12_2013B3_CLEAN_RS"))
self.assertEqual( 452 , len(sum))
self.assertFloatEqual( 1.8533144e+8 , sum.last_value("FOPT"))
trange = sum.timeRange( start = datetime.date( 2015 , 1 , 1), interval = "1M")
self.assertTrue( trange[0] == datetime.date( 2016 , 2 , 1 ))
for t in trange:
sum.get_interp( "FOPT" , date = t )
def test_timeRange(self):
sum = EclSum(self.case)
with self.assertRaises(TypeError):
trange = sum.timeRange(interval = "1")
trange = sum.timeRange(interval = "1X")
trange = sum.timeRange(interval = "YY")
trange = sum.timeRange(interval = "MY")
with self.assertRaises(ValueError):
trange = sum.timeRange( start = datetime.datetime(2000,1,1) , end = datetime.datetime(1999,1,1) )
sim_start = datetime.datetime(2000, 1, 1, 0, 0, 0)
sim_end = datetime.datetime(2004, 12, 31, 0, 0, 0)
trange = sum.timeRange( interval = "1Y")
self.assertTrue( trange[0] == datetime.date( 2000 , 1 , 1 ))
self.assertTrue( trange[1] == datetime.date( 2001 , 1 , 1 ))
self.assertTrue( trange[2] == datetime.date( 2002 , 1 , 1 ))
self.assertTrue( trange[3] == datetime.date( 2003 , 1 , 1 ))
self.assertTrue( trange[4] == datetime.date( 2004 , 1 , 1 ))
self.assertTrue( trange[5] == datetime.date( 2005 , 1 , 1 ))
trange = sum.timeRange( interval = "1M")
self.assertTrue( trange[0] == datetime.date( 2000 , 1 , 1 ))
self.assertTrue( trange[-1] == datetime.date( 2005 , 1 , 1 ))
trange = sum.timeRange( start = datetime.date( 2002 , 1 , 15), interval = "1M")
self.assertTrue( trange[0] == datetime.date( 2002 , 1 , 1 ))
self.assertTrue( trange[-1] == datetime.date( 2005 , 1 , 1 ))
trange = sum.timeRange( start = datetime.date( 2002 , 1 , 15) , end = datetime.date( 2003 , 1 , 15), interval = "1M")
self.assertTrue( trange[0] == datetime.date( 2002 , 1 , 1 ))
self.assertTrue( trange[-1] == datetime.date( 2003 , 2 , 1 ))
trange = sum.timeRange( start = datetime.date( 2002 , 1 , 15) , end = datetime.datetime( 2003 , 1 , 15,0,0,0), interval = "1M")
self.assertTrue( trange[0] == datetime.date( 2002 , 1 , 1 ))
self.assertTrue( trange[-1] == datetime.date( 2003 , 2 , 1 ))
def test_eval(self):
npv = EclNPV(self.case)
npv.compile("[FOPT]")
npv1 = npv.evalNPV()
npv2 = 0
sum = EclSum(self.case)
trange = sum.timeRange()
fopr = sum.blockedProduction("FOPT" , trange)
for v in fopr:
npv2 += v
self.assertAlmostEqual( npv1 , npv2 )
npv.compile("[FOPT] - 0.5*[FOPT] - 0.5*[FOPT]")
npv1 = npv.evalNPV()
self.assertTrue( abs(npv1) < 1e-2 )
npv.compile("[WOPT:OP_1] - 0.5*[WOPT:OP_1] - 0.5*[WOPT:OP_1]")
npv1 = npv.evalNPV()
self.assertTrue( abs(npv1) < 1e-2 )
class EclSumTest(EclTest):
def setUp(self):
self.test_file = self.createTestPath("Statoil/ECLIPSE/Gurbat/ECLIPSE.SMSPEC")
self.ecl_sum = EclSum(self.test_file)
def test_time_range_year(self):
real_range = self.ecl_sum.timeRange(interval="1y", extend_end=False)
extended_range = self.ecl_sum.timeRange(interval="1y", extend_end=True)
assert real_range[-1] < extended_range[-1]
def test_time_range_day(self):
real_range = self.ecl_sum.timeRange(interval="1d", extend_end=False)
extended_range = self.ecl_sum.timeRange(interval="1d", extend_end=True)
assert real_range[-1] == extended_range[-1]
def test_time_range_month(self):
real_range = self.ecl_sum.timeRange(interval="1m", extend_end=False)
extended_range = self.ecl_sum.timeRange(interval="1m", extend_end=True)
assert real_range[-1] < extended_range[-1]
def test_dump_csv_line(self):
ecl_sum_vector = EclSumKeyWordVector(self.ecl_sum)
ecl_sum_vector.addKeywords("F*")
with self.assertRaises(KeyError):
ecl_sum_vector.addKeyword("MISSING")
dtime = datetime.datetime(2002, 1, 1, 0, 0, 0)
with TestAreaContext("EclSum/csv_dump"):
test_file_name = self.createTestPath("dump.csv")
outputH = copen(test_file_name, "w")
self.ecl_sum.dumpCSVLine(dtime, ecl_sum_vector, outputH)
assert os.path.isfile(test_file_name)
def test_truncated_smspec(self):
with TestAreaContext("EclSum/truncated_smspec") as ta:
ta.copy_file(self.test_file)
ta.copy_file(self.createTestPath("Statoil/ECLIPSE/Gurbat/ECLIPSE.UNSMRY"))
file_size = os.path.getsize("ECLIPSE.SMSPEC")
with open("ECLIPSE.SMSPEC","r+") as f:
f.truncate(file_size / 2)
with self.assertRaises(IOError):
EclSum("ECLIPSE")
def test_truncated_data(self):
with TestAreaContext("EclSum/truncated_data") as ta:
ta.copy_file(self.test_file)
ta.copy_file(self.createTestPath("Statoil/ECLIPSE/Gurbat/ECLIPSE.UNSMRY"))
file_size = os.path.getsize("ECLIPSE.UNSMRY")
with open("ECLIPSE.UNSMRY","r+") as f:
f.truncate(file_size / 2)
with self.assertRaises(IOError):
EclSum("ECLIPSE")
def test_missing_smspec_keyword(self):
with TestAreaContext("EclSum/truncated_data") as ta:
ta.copy_file(self.test_file)
ta.copy_file(self.createTestPath("Statoil/ECLIPSE/Gurbat/ECLIPSE.UNSMRY"))
with openEclFile("ECLIPSE.SMSPEC") as f:
kw_list = []
for kw in f:
kw_list.append(EclKW.copy(kw))
with openFortIO("ECLIPSE.SMSPEC", mode=FortIO.WRITE_MODE) as f:
for kw in kw_list:
if kw.getName() == "KEYWORDS":
continue
kw.fwrite(f)
with self.assertRaises(IOError):
EclSum("ECLIPSE")
def test_missing_unsmry_keyword(self):
with TestAreaContext("EclSum/truncated_data") as ta:
ta.copy_file(self.test_file)
ta.copy_file(self.createTestPath("Statoil/ECLIPSE/Gurbat/ECLIPSE.UNSMRY"))
with openEclFile("ECLIPSE.UNSMRY") as f:
kw_list = []
for kw in f:
kw_list.append(EclKW.copy(kw))
with openFortIO("ECLIPSE.UNSMRY", mode=FortIO.WRITE_MODE) as f:
c = 0
for kw in kw_list:
if kw.getName() == "PARAMS":
if c % 5 == 0:
continue
c += 1
kw.fwrite(f)
with self.assertRaises(IOError):
EclSum("ECLIPSE")
def test_labscale(self):
case = self.createTestPath("Statoil/ECLIPSE/LabScale/HDMODEL")
sum = EclSum(case, lazy_load=True)
self.assertEqual(sum.getStartTime(), datetime.datetime(2013,1,1,0,0,0))
self.assertEqual(sum.getEndTime() , datetime.datetime(2013,1,1,19,30,0))
self.assertFloatEqual(sum.getSimulationLength(), 19.50)
sum = EclSum(case, lazy_load=False)
self.assertEqual(sum.getStartTime(), datetime.datetime(2013,1,1,0,0,0))
self.assertEqual(sum.getEndTime() , datetime.datetime(2013,1,1,19,30,0))
self.assertFloatEqual(sum.getSimulationLength(), 19.50)
class EclSumTest(EclTest):
def setUp(self):
self.test_file = self.createTestPath("Equinor/ECLIPSE/Gurbat/ECLIPSE.SMSPEC")
self.ecl_sum = EclSum(self.test_file)
def test_time_range_year(self):
real_range = self.ecl_sum.timeRange(interval="1y", extend_end=False)
extended_range = self.ecl_sum.timeRange(interval="1y", extend_end=True)
assert real_range[-1] < extended_range[-1]
def test_time_range_day(self):
real_range = self.ecl_sum.timeRange(interval="1d", extend_end=False)
extended_range = self.ecl_sum.timeRange(interval="1d", extend_end=True)
assert real_range[-1] == extended_range[-1]
def test_time_range_month(self):
real_range = self.ecl_sum.timeRange(interval="1m", extend_end=False)
extended_range = self.ecl_sum.timeRange(interval="1m", extend_end=True)
assert real_range[-1] < extended_range[-1]
def test_dump_csv_line(self):
ecl_sum_vector = EclSumKeyWordVector(self.ecl_sum)
ecl_sum_vector.addKeywords("F*")
with self.assertRaises(KeyError):
ecl_sum_vector.addKeyword("MISSING")
dtime = datetime.datetime(2002, 1, 1, 0, 0, 0)
with TestAreaContext("EclSum/csv_dump"):
test_file_name = self.createTestPath("dump.csv")
outputH = copen(test_file_name, "w")
self.ecl_sum.dumpCSVLine(dtime, ecl_sum_vector, outputH)
assert os.path.isfile(test_file_name)
def test_truncated_smspec(self):
with TestAreaContext("EclSum/truncated_smspec") as ta:
ta.copy_file(self.test_file)
ta.copy_file(self.createTestPath("Equinor/ECLIPSE/Gurbat/ECLIPSE.UNSMRY"))
file_size = os.path.getsize("ECLIPSE.SMSPEC")
with open("ECLIPSE.SMSPEC", "r+") as f:
f.truncate(file_size / 2)
with self.assertRaises(IOError):
EclSum("ECLIPSE")
def test_truncated_data(self):
with TestAreaContext("EclSum/truncated_data") as ta:
ta.copy_file(self.test_file)
ta.copy_file(self.createTestPath("Equinor/ECLIPSE/Gurbat/ECLIPSE.UNSMRY"))
file_size = os.path.getsize("ECLIPSE.UNSMRY")
with open("ECLIPSE.UNSMRY", "r+") as f:
f.truncate(file_size / 2)
with self.assertRaises(IOError):
EclSum("ECLIPSE")
def test_missing_smspec_keyword(self):
with TestAreaContext("EclSum/truncated_data") as ta:
ta.copy_file(self.test_file)
ta.copy_file(self.createTestPath("Equinor/ECLIPSE/Gurbat/ECLIPSE.UNSMRY"))
with openEclFile("ECLIPSE.SMSPEC") as f:
kw_list = []
for kw in f:
kw_list.append(EclKW.copy(kw))
with openFortIO("ECLIPSE.SMSPEC", mode=FortIO.WRITE_MODE) as f:
for kw in kw_list:
if kw.getName() == "KEYWORDS":
continue
kw.fwrite(f)
with self.assertRaises(IOError):
EclSum("ECLIPSE")
def test_missing_unsmry_keyword(self):
with TestAreaContext("EclSum/truncated_data") as ta:
ta.copy_file(self.test_file)
ta.copy_file(self.createTestPath("Equinor/ECLIPSE/Gurbat/ECLIPSE.UNSMRY"))
with openEclFile("ECLIPSE.UNSMRY") as f:
kw_list = []
for kw in f:
kw_list.append(EclKW.copy(kw))
with openFortIO("ECLIPSE.UNSMRY", mode=FortIO.WRITE_MODE) as f:
c = 0
for kw in kw_list:
if kw.getName() == "PARAMS":
if c % 5 == 0:
continue
c += 1
kw.fwrite(f)
with self.assertRaises(IOError):
EclSum("ECLIPSE")
def test_labscale(self):
case = self.createTestPath("Equinor/ECLIPSE/LabScale/HDMODEL")
sum = EclSum(case, lazy_load=True)
self.assertEqual(sum.getStartTime(), datetime.datetime(2013, 1, 1, 0, 0, 0))
self.assertEqual(sum.getEndTime(), datetime.datetime(2013, 1, 1, 19, 30, 0))
self.assertFloatEqual(sum.getSimulationLength(), 19.50)
sum = EclSum(case, lazy_load=False)
self.assertEqual(sum.getStartTime(), datetime.datetime(2013, 1, 1, 0, 0, 0))
self.assertEqual(sum.getEndTime(), datetime.datetime(2013, 1, 1, 19, 30, 0))
self.assertFloatEqual(sum.getSimulationLength(), 19.50)
"2014-11-01": 75.79,
"2014-12-01": 59.29,
"2015-01-01": 47.22,
"2015-02-01": 50.58,
"2015-03-01": 47.82,
"2015-04-01": 54.45,
"2015-05-01": 59.27,
"2015-06-01": 59.82,
"2015-07-01": 50.90,
"2015-08-01": 42.87,
"2015-09-01": 45.48}
if __name__ == '__main__':
ecl_sum = EclSum("SNAKE_OIL_FIELD")
start_time = ecl_sum.getStartTime()
date_ranges = ecl_sum.timeRange(start_time, interval="1M")
production_sums = ecl_sum.blockedProduction("FOPT", date_ranges)
npv = 0.0
for index in range(0, len(date_ranges) - 1):
date = date_ranges[index + 1] # end of period
production_sum = production_sums[index]
oil_price = OIL_PRICES[date.date().strftime("%Y-%m-%d")]
production_value = oil_price * production_sum
npv += production_value
with open("snake_oil_npv.txt", "w") as output_file:
output_file.write("NPV %s\n" % npv)
"2014-12-01": 59.29,
"2015-01-01": 47.22,
"2015-02-01": 50.58,
"2015-03-01": 47.82,
"2015-04-01": 54.45,
"2015-05-01": 59.27,
"2015-06-01": 59.82,
"2015-07-01": 50.90,
"2015-08-01": 42.87,
"2015-09-01": 45.48,
}
if __name__ == "__main__":
ecl_sum = EclSum("SNAKE_OIL_FIELD")
start_time = ecl_sum.getStartTime()
date_ranges = ecl_sum.timeRange(start_time, interval="1M")
production_sums = ecl_sum.blockedProduction("FOPT", date_ranges)
npv = 0.0
for index in range(0, len(date_ranges) - 1):
date = date_ranges[index + 1] # end of period
production_sum = production_sums[index]
oil_price = OIL_PRICES[date.date().strftime("%Y-%m-%d")]
production_value = oil_price * production_sum
npv += production_value
with open("snake_oil_npv.txt", "w") as output_file:
output_file.write("NPV %s\n" % npv)
