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The interest of exploring deep geological resources for energy-related activities is rapidly increasing. Lowering the risks associated with these activities requires the development of fast and accurate in situ rock characterization methods. Monitoring and ...
Neural networks provide an attractive framework to monitor the water table level and the volume of stored water in porous media from seismic data in an automated, fast and cost-efficient manner. In this work, a subsurface reservoir is modeled as a coupled ...
European Association of Geoscientists and Engineers, EAGE2023
Buckled periodic beams possess a geometrically nonlinear, load-deformation relation and intrinsic length scales such that stable, nonlinear waves are possible. In part I of this paper, a model has been derived that predict compressive/rarefaction, superson ...