Estimate steady heterogeneous parameters

Here we demonstrate how to estimate parameters of heterogeneity, namely mean, variance and correlation length of log-transmissivity, with the aid the the extended Thiem solution in 2D.

  • 05 estimate steady het
  • 05 estimate steady het
  • 05 estimate steady het
  • FAST total sensitivity shares
  • 05 estimate steady het
Initializing the  Shuffled Complex Evolution (SCE-UA) algorithm  with  5000  repetitions
The objective function will be minimized
Starting burn-in sampling...
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
* Database file '/home/docs/checkouts/readthedocs.org/user_builds/welltestpy/checkouts/latest/examples/Est_steady_het/2023-04-18_09-58-29_db.csv' created.
Burn-in sampling completed...
Starting Complex Evolution...
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*** OPTIMIZATION SEARCH TERMINATED BECAUSE THE LIMIT
ON THE MAXIMUM NUMBER OF TRIALS
5000
HAS BEEN EXCEEDED.
SEARCH WAS STOPPED AT TRIAL NUMBER: 5084
NUMBER OF DISCARDED TRIALS: 35
NORMALIZED GEOMETRIC RANGE = 0.002615
THE BEST POINT HAS IMPROVED IN LAST 100 LOOPS BY 100000.000000 PERCENT

*** Final SPOTPY summary ***
Total Duration: 0.81 seconds
Total Repetitions: 5084
Minimal objective value: 0.000102931
Corresponding parameter setting:
trans_gmean: -9.18665
var: 0.0473718
len_scale: 41.5893
******************************

Best parameter set:
trans_gmean=-9.186654615190932, var=0.04737184562132764, len_scale=41.58933403842806
Initializing the  Fourier Amplitude Sensitivity Test (FAST)  with  1158  repetitions
Starting the FAST algotrithm with 1158 repetitions...
Creating FAST Matrix
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
* Database file '/home/docs/checkouts/readthedocs.org/user_builds/welltestpy/checkouts/latest/examples/Est_steady_het/2023-04-18_09-58-32_sensitivity_db.csv' created.

*** Final SPOTPY summary ***
Total Duration: 0.16 seconds
Total Repetitions: 1158
Minimal objective value: 77.4336
Corresponding parameter setting:
trans_gmean: -7.55702
var: 3.3744
len_scale: 30.7267
Maximal objective value: 2.76442e+08
Corresponding parameter setting:
trans_gmean: -15.8022
var: 9.88788
len_scale: 46.9621
******************************

1158

import welltestpy as wtp

campaign = wtp.load_campaign("Cmp_UFZ-campaign.cmp")
estimation = wtp.estimate.ExtThiem2D("Est_steady_het", campaign, generate=True)
estimation.run()
estimation.sensitivity()

Total running time of the script: ( 0 minutes 5.340 seconds)

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