Estimate steady homogeneous parameters

Here we estimate transmissivity from the quasi steady state of a pumping test campaign with the classical thiem solution.

import welltestpy as wtp

campaign = wtp.load_campaign("Cmp_UFZ-campaign.cmp")
estimation = wtp.estimate.Thiem("Estimate_thiem", campaign, generate=True)
estimation.run()

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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/v1.0.0/examples/Estimate_thiem/2020-09-02_14-47-57_db.csv' created.
Burn-in sampling completed...
Starting Complex Evolution...
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4102 of 5000, minimal objective function=0.0672645, time remaining: 00:00:00
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Skipping saving
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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: 5034
NUMBER OF DISCARDED TRIALS: 12
NORMALIZED GEOMETRIC RANGE = 0.107884
THE BEST POINT HAS IMPROVED IN LAST 100 LOOPS BY 100000.000000 PERCENT

*** Final SPOTPY summary ***
Total Duration: 2.43 seconds
Total Repetitions: 5034
Minimal objective value: 0.0672645
Corresponding parameter setting:
mu: -9.21029
******************************

Best parameter set:
mu=-9.210293557336158

since we only have one parameter, we need a dummy parameter to estimate sensitivity

estimation.gen_setup(dummy=True)
estimation.sensitivity()

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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/v1.0.0/examples/Estimate_thiem/2020-09-02_14-48-02_sensitivity_db.csv' created.

*** Final SPOTPY summary ***
Total Duration: 0.17 seconds
Total Repetitions: 260
Minimal objective value: 50.8679
Corresponding parameter setting:
mu: -9.2288
dummy: 0.136662
Maximal objective value: 2.0766e+06
Corresponding parameter setting:
mu: -15.8485
dummy: 0.23594
******************************

260
Parameter First Total
mu 0.804354 0.980549
dummy 0.001831 0.051718
260