Analysis of pumping tests of partially penetrating wells in an unconfined aquifer using inverse numerical optimization

Citation
S. Hvilshoj et al., Analysis of pumping tests of partially penetrating wells in an unconfined aquifer using inverse numerical optimization, HYDROGEOL J, 7(4), 1999, pp. 365-379
Citations number
43
Categorie Soggetti
Earth Sciences","Civil Engineering
Journal title
HYDROGEOLOGY JOURNAL
ISSN journal
14312174 → ACNP
Volume
7
Issue
4
Year of publication
1999
Pages
365 - 379
Database
ISI
SICI code
1431-2174(199908)7:4<365:AOPTOP>2.0.ZU;2-A
Abstract
Inverse numerical modeling was applied to analyze pumping tests of partiall y penetrating wells carried out in three wells established in an unconfined aquifer in Vejen, Denmark, where extensive field investigations had previo usly been carried out, including tracer tests, mini-slug tests, and other h ydraulic tests. Drawdown data from multiple piezometers located at various horizontal and vertical distances from the pumping well were included in th e optimization. Horizontal and vertical hydraulic conductivities, specific storage, and specific yield were estimated, assuming that the aquifer was e ither a homogeneous system with vertical anisotropy or composed of two or t hree layers of different hydraulic properties. In two out of three cases, a more accurate interpretation was obtained for a multi-layer model defined on the basis of lithostratigraphic information obtained from geological des criptions of sediment samples, gamma-logs, and flow-meter tests. Analysis o f the pumping tests resulted in values for horizontal hydraulic conductivit ies that are in good accordance with those obtained from slug tests and min i-slug tests. Besides the horizontal hydraulic conductivity, it is possible to determine the vertical hydraulic conductivity, specific yield, and spec ific storage based on a pumping test of a partially penetrating well. The s tudy demonstrates that pumping tests of partially penetrating wells can be analyzed using inverse numerical models. The model used in the study was a finite-element flow model combined with a non-linear regression model. Such a model can accommodate more geological information and complex boundary c onditions, and the parameter-estimation procedure can be formalized to obta in optimum estimates of hydraulic parameters and their standard deviations.