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An Optimization Model for Analysis of Test Pumping Data
Author(s) -
Kashyap Deepak,
Dachadesh Prasong,
Jageshwar Sinha L. S.
Publication year - 1988
Publication title -
groundwater
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.84
H-Index - 94
eISSN - 1745-6584
pISSN - 0017-467X
DOI - 10.1111/j.1745-6584.1988.tb00392.x
Subject(s) - classification of discontinuities , hydrogeology , test data , computer science , data mining , drawdown (hydrology) , minification , consistency (knowledge bases) , aquifer , algorithm , geology , mathematics , mathematical optimization , geotechnical engineering , groundwater , artificial intelligence , mathematical analysis , programming language
An optimization model for computer‐assisted estimation of aquifer parameters has been developed. It is based upon the principle of minimization of the sum of squares of the differences between observed and computed drawdowns. The objective strategy eliminates the subjectivity associated with the conventional curve‐matching procedures. Apart from the parameter estimation, the model can assist in identifying certain hydrogeological features like leakage, discontinuities, vertical anisotropy, etc. It also can provide a check on consistency among different data sets monitored during a test pumping (e.g., drawdown and recovery data). The application of the proposed model has been illustrated by analysis of field data. The model‐computed parameters honored the observed data more closely than the graphical estimates. The model could also identify leakage as the cause of departure of the time‐drawdown curve from the Theis type curve. In another study, the model results lead to an inference that the recovery data of the pumped well are inconsistent with the rest of the data.