Near-instant prediction of short-term transfer functions for closed-loop boreholes in heterogeneous aquifers influenced by groundwater flow using wavelet decomposition and neural networks

Christopher Rose, Philippe Pasquier, Alain Nguyen and Richard Labib

Abstract (2025)

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Department:	Department of Mathematics and Industrial Engineering Department of Civil, Geological and Mining Engineering
PolyPublie URL:	https://publications.polymtl.ca/63443/
Conference Title:	EGU General Assembly 2025
Conference Location:	Vienna, Austria
Conference Date(s):	2025-04-27 - 2025-05-02
Publisher:	Copernicus GmbH
DOI:	10.5194/egusphere-egu25-1651
Official URL:	https://doi.org/10.5194/egusphere-egu25-1651
Date Deposited:	24 Mar 2025 16:25
Last Modified:	24 Mar 2025 16:25

Cite in APA 7:	Rose, C., Pasquier, P., Nguyen, A., & Labib, R. (2025, April). Near-instant prediction of short-term transfer functions for closed-loop boreholes in heterogeneous aquifers influenced by groundwater flow using wavelet decomposition and neural networks [Abstract]. EGU General Assembly 2025, Vienna, Austria (2 pages). https://doi.org/10.5194/egusphere-egu25-1651
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