The acquisition of three-component high-density seismic data in WARR surveys, aimed at the two or three-dimensional modelling of buried structures, makes it possible to apply statistical-analysis techniques to estimate the propagation parameters of waves. The availability of the three components allows the use of the information about the state of the seismic wave polarization in order to filte...

The present study initially selects twenty-one bridges with lengths over 500m in the Formosa freeway of Taiwan, and collects a series of recorded seismic data from checking stations near these bridges. Then, three seismic parameters including focal depth, epicenter distance, and local magnitude, are used as the input data sets, and a model for estimating the key seismic parameter peak ground ac...

Seismic reservoir characterization aims to transform obtained seismic signatures into reservoir properties such as lithofacies and pore fluids. We propose a Markov chain Monte Carlo (McMC) workflow consistent with geology, well‐logs, seismic data and rock‐physics information. The workflow uses a multiple‐point geostatistical method for generating realizations from the prior distribution...

The paper describes an integrated approach to seismic hazard assessment, which was applied for the Taiwan region. First, the theoretical seismic catalogue (2001-2050) for the Taiwan region had been calculated using the 4D-model (location, depth, time) for dynamic deformation of the Earth’ crust and 5D-model (location, depth, time, magnitude) for seismic process. The models were developed on the...

The use of supervised neural networks for the estimation of seismic source parameters from SAR interferometric data is presented in this paper. The RNGCHN software allowed the generation of the input-output pairs necessary for the learning phase of the net. After being trained, the net has been tested on real measured data. The obtained results encourage future developments of such an approach.