The feasibility of data based machine learning applied to ultrasound tomography is studied
to estimate water-saturated porous material parameters. In this work, the data to train the …

Convolutional neural networks can provide a potential framework to characterize
groundwater storage from seismic data. Estimation of key components, such as the amount …

In this paper, we consider a high-order discontinuous Galerkin (DG) method for modelling
wave propagation in coupled poroelastic–elastic media. The upwind numerical flux is …

This paper presents the research studies carried out on the application of lattice Boltzmann
method (LBM) to computational aeroacoustics (CAA). The Navier-Stokes equation-based …

A water-gas two-phase flow model of a fractured vertical well in a coalbed methane (CBM)
reservoir is developed based on the Buckley-Leverett equation. A program is developed …

The discontinuous Galerkin method (DGM) has been applied to investigate seismic wave
propagation recently. However, few studies have examined the dispersion property of DGM …

In this paper, we introduce a high-order discontinuous Galerkin method, based on centered
fluxes and a family of high-order leap-frog time schemes, for the solution of the 3D …

In this study a discontinuous Galerkin method (DG) for solving the three-dimensional time-
dependent dissipative wave equation is investigated. In the case of unbounded problems …

We study the inverse problem of estimating the pipeline location from ground-penetrating
radar data in the context of Bayesian inversion. Maxwellʼs equations are used to model the …

We discuss two techniques for the solution of the time domain Maxwell system. The first is a
partial differential equation based approach using conforming finite elements and implicit …