TY  - GEN
A1  - Kühn, Michael
A1  - Schöne, Tim
T1  - Multivariate regression model from water level and production rate time series for the geothermal reservoir Waiwera (New Zealand)
T2  - Energy procedia
N2  - Water management tools are necessary to guarantee the preservation of natural resources while ensuring optimum utilization. Linear regression models are a simple and quick solution for creating prognostic capabilities. Multivariate models show higher precision than univariate models. In the case of Waiwera, implementation of individual production rates is more accurate than applying just the total production rate. A maximum of approximately 1,075 m3/day can be pumped to ensure a water level of at least 0.5 m a.s.l. in the monitoring well. The model should be renewed annually to implement new data and current water level trends to keep the quality.
KW  - geothermal reservoir
KW  - water management
KW  - data based model
KW  - multivariate regression
KW  - coefficient of determination
KW  - scenario analysis
Y1  - 2017
U6  - https://doi.org/10.1016/j.egypro.2017.08.196
SN  - 1876-6102
VL  - 125
SP  - 571
EP  - 579
PB  - Elsevier
CY  - Amsterdam
ER  -