42 citations · 47 across the 3 of their papers we have counts for
3 papers
Monitoring of water volume in a porous reservoir using seismic data: Validation of a numerical model with a field experiment
Mahnaz Khalili, Bojan Brodic, Peter Göransson +6
As global groundwater levels continue to decline rapidly, there is a growing need for advanced techniques to monitor and manage aquifers effectively. This study focuses on validati…
Monitoring of water volume in a porous reservoir using seismic data: A 3D simulation study
Mahnaz Khalili, Peter Göransson, Jan S. Hesthaven +3
A potential framework to estimate the volume of water stored in a porous storage reservoir from seismic data is neural networks. In this study, the man-made groundwater reservoir i…
Estimation of groundwater storage from seismic data using deep learning
Timo Lähivaara, Alireza Malehmir, Antti Pasanen +3
Convolutional neural networks can provide a potential framework to characterize groundwater storage from seismic data. Estimation of key components such as the amount of groundwate…