This paper presents an attribute fusion method applied to 3D seismic block analysis. Attributes are extracted from the underground data and are aggregated by means of the fuzzy set theory which allows to code the linguistic attribute relation given by geophysicists under the form of IF-THEN rules. A cooperative system has been designed in order to involve the user in the fusion process. The mai...

A matching pursuit algorithm is used to obtain quantitative information on the litho-stratigraphical content of seismic data. The method is based on a greedy non-linear algorithm decomposing the data into atoms drawn from a redundant dictionary defined by fractional splines. The atom’s parametrization provides localized scale, order and direction attributes which carry information on the strati...

The present article outlines an innovative derivation of the well-known CRS traveltime formula. This is made possible by approximating the isochrones tangent to a small reflecting element embedded in a 3D homogeneous auxiliary medium. The arising paraxial traveltime formula is then parametrised by six attributes, each one characterising geometrically the wavefront of the reference normal-incide...

the identification of natural hazard prone areas for future planning requires an efficient decision support tool to provide the appropriate weights for the various topographical, geological, and seismological factors responsible for the expected hazards. in the present study, an analytical hierarchy process (ahp) with six earthquake hazard parameters (ehps) was used as a decision support system...

We have implemented an extension for the observational seismology obspy software package to provide a streamlined tool tailored processing of seismic signals from non-earthquake sources, in particular those deforming systems such as glaciers and landslides. This seismic attributes library provides functionality to: (1) download and/or pre-process waveform data; (2) detect cata...

Stochastic nature of earthquake has raised a challenge for engineers to choose which record for their analyses. Clustering is offered as a solution for such a data mining problem to automatically distinguish between ground motion records based on similarities in the corresponding seismic attributes. The present work formulates an optimization problem to seek for the best clustering measures. In...