Estimate homogeneous parameters

Here we estimate transmissivity and storage from a pumping test campaign with the classical theis solution.

import welltestpy as wtp

campaign = wtp.load_campaign("Cmp_UFZ-campaign.cmp")
estimation = wtp.estimate.Theis("Estimate_theis", campaign, generate=True)
estimation.run()
  • 02 estimate
  • 02 estimate
  • 02 estimate

Out:

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/stable/examples/Estimate_theis/2021-07-29_12-00-09_db.csv' created.
Burn-in sampling completed...
Starting Complex Evolution...
ComplexEvo loop #1 in progress...
ComplexEvo loop #2 in progress...
ComplexEvo loop #3 in progress...
ComplexEvo loop #4 in progress...
ComplexEvo loop #5 in progress...
ComplexEvo loop #6 in progress...
ComplexEvo loop #7 in progress...
ComplexEvo loop #8 in progress...
ComplexEvo loop #9 in progress...
ComplexEvo loop #10 in progress...
ComplexEvo loop #11 in progress...
ComplexEvo loop #12 in progress...
ComplexEvo loop #13 in progress...
ComplexEvo loop #14 in progress...
ComplexEvo loop #15 in progress...
ComplexEvo loop #16 in progress...
ComplexEvo loop #17 in progress...
ComplexEvo loop #18 in progress...
ComplexEvo loop #19 in progress...
THE POPULATION HAS CONVERGED TO A PRESPECIFIED SMALL PARAMETER SPACE
SEARCH WAS STOPPED AT TRIAL NUMBER: 2575
NUMBER OF DISCARDED TRIALS: 0
NORMALIZED GEOMETRIC RANGE = 0.000931
THE BEST POINT HAS IMPROVED IN LAST 100 LOOPS BY 100000.000000 PERCENT

*** Final SPOTPY summary ***
Total Duration: 0.55 seconds
Total Repetitions: 2575
Minimal objective value: 77.2517
Corresponding parameter setting:
mu: -9.21583
lnS: -9.10169
******************************

Best parameter set:
mu=-9.215826028080174, lnS=-9.101688376309637

In addition, we run a sensitivity analysis, to get an impression of the impact of each parameter

estimation.sensitivity()
  • FAST total sensitivity shares
  • 02 estimate

Out:

Initializing the  Fourier Amplitude Sensitivity Test (FAST)  with  260  repetitions
Starting the FAST algotrithm with 260 repetitions...
Creating FAST Matrix
Initialize database...
['csv', 'hdf5', 'ram', 'sql', 'custom', 'noData']
* Database file '/home/docs/checkouts/readthedocs.org/user_builds/welltestpy/checkouts/stable/examples/Estimate_theis/2021-07-29_12-00-11_sensitivity_db.csv' created.

*** Final SPOTPY summary ***
Total Duration: 0.07 seconds
Total Repetitions: 260
Minimal objective value: 425.565
Corresponding parameter setting:
mu: -9.17601
lnS: -9.91173
Maximal objective value: 3.28827e+06
Corresponding parameter setting:
mu: -15.7729
lnS: -12.805
******************************

260
Parameter First Total
mu 0.519798 0.923277
lnS 0.060344 0.432126
260

Total running time of the script: ( 0 minutes 2.870 seconds)

Gallery generated by Sphinx-Gallery