Open boverhof opened 1 year ago
(py3.9) joshuas-mbp:foqussessiondev1563311335 boverhof$ python analyze.py --summary
JOBS: 20989
FILTER BY VAR: ('dp', 0.00015)
TOTAL: 24 24
BFBadsM.Lb -- SUCCESS=1055 ERRORS=194
fg_flow -- SUCCESS=5 ERRORS=5
BFBadsB.Dt -- SUCCESS=1077 ERRORS=207
GHXfg.GasIn.T -- SUCCESS=1 ERRORS=1
BFBadsM.dx -- SUCCESS=975 ERRORS=180
GHXfg.A_exch -- SUCCESS=1046 ERRORS=197
dp -- SUCCESS=1 ERRORS=1
BFBadsM.Cr -- SUCCESS=1 ERRORS=1
GHXfg.GasIn.P -- SUCCESS=1 ERRORS=1
BFBRGN.Dt -- SUCCESS=1094 ERRORS=204
BFBRGNTop.Cr -- SUCCESS=1 ERRORS=1
BFBadsT.Cr -- SUCCESS=1 ERRORS=1
BFBRGNTop.Lb -- SUCCESS=1050 ERRORS=197
BFBRGN.Lb -- SUCCESS=1053 ERRORS=196
BFBadsB.Cr -- SUCCESS=1 ERRORS=1
BFBadsT.Lb -- SUCCESS=1039 ERRORS=192
BFBRGN.Cr -- SUCCESS=1 ERRORS=1
BFBadsM.Dt -- SUCCESS=491 ERRORS=85
BFBadsT.dx -- SUCCESS=1079 ERRORS=201
BFBadsB.Lb -- SUCCESS=1060 ERRORS=200
BFBadsT.Dt -- SUCCESS=595 ERRORS=108
BFBRGNTop.Dt -- SUCCESS=1053 ERRORS=194
BFBadsB.dx -- SUCCESS=649 ERRORS=103
Kd -- SUCCESS=1 ERRORS=1
(py3.9) joshuas-mbp:foqussessiondev1563311335 boverhof$ python analyze.py
JOBS: 20989
FILTER BY VAR: ('dp', 0.00015)
TOTAL: 24 24
BFBadsM.Lb -- RANGE=(1.5345,2.4095) RANGE ERRORS=(1.5345,2.1031248943341145)
fg_flow -- RANGE=(70263.9,110414.7) RANGE ERRORS=(70263.9,110414.7)
BFBadsB.Dt -- RANGE=(10.647,14.026297553110737) RANGE ERRORS=(10.647,14.026297553110737)
GHXfg.GasIn.T -- RANGE=(54,54) RANGE ERRORS=(54,54)
BFBadsM.dx -- RANGE=(0.051956667357578534,0.075) RANGE ERRORS=(0.055544874168780206,0.075)
GHXfg.A_exch -- RANGE=(15541.651765281696,17000) RANGE ERRORS=(15715.284569969244,16950.830664530607)
dp -- RANGE=(0.00015,0.00015) RANGE ERRORS=(0.00015,0.00015)
BFBadsM.Cr -- RANGE=(1,1) RANGE ERRORS=(1,1)
GHXfg.GasIn.P -- RANGE=(1.01325,1.01325) RANGE ERRORS=(1.01325,1.01325)
BFBRGN.Dt -- RANGE=(8.041,10.450362376771725) RANGE ERRORS=(8.041,10.118615592286677)
BFBRGNTop.Cr -- RANGE=(1,1) RANGE ERRORS=(1,1)
BFBadsT.Cr -- RANGE=(1,1) RANGE ERRORS=(1,1)
BFBRGNTop.Lb -- RANGE=(5.4426,8.942599999999999) RANGE ERRORS=(5.4426,8.942599999999999)
BFBRGN.Lb -- RANGE=(8.68849218074504,8.971499999999999) RANGE ERRORS=(8.69678556017329,8.906625648676997)
BFBadsB.Cr -- RANGE=(1,1) RANGE ERRORS=(1,1)
BFBadsT.Lb -- RANGE=(1.7884795890544831,2.42575) RANGE ERRORS=(1.7884795890544831,2.42575)
BFBRGN.Cr -- RANGE=(1,1) RANGE ERRORS=(1,1)
BFBadsM.Dt -- RANGE=(12.5,15) RANGE ERRORS=(12.5,15)
BFBadsT.dx -- RANGE=(0.04616453190727447,0.07184925) RANGE ERRORS=(0.05227637499275295,0.07184925)
BFBadsB.Lb -- RANGE=(1.77375,2.3962499999999998) RANGE ERRORS=(1.77375,2.3962499999999998)
BFBadsT.Dt -- RANGE=(12.5,15) RANGE ERRORS=(12.5,15)
BFBRGNTop.Dt -- RANGE=(8.195,10.195) RANGE ERRORS=(8.195,10.195)
BFBadsB.dx -- RANGE=(0.0127,0.04385) RANGE ERRORS=(0.0127,0.04385)
Kd -- RANGE=(100,100) RANGE ERRORS=(100,100)
Description
On AWS S3 there are records since 2020 of BFB runs. Some of these runs have failed because of convergence errors. An ability to analyze the inputs that create convergence errors would be useful in determining new parameter ranges/sets to try.
Demonstration
Here are sets of parameters that were used to run the BFB simulation. Parameter values that were associated with an error run are added to the "ERROR" set.