We present a comparative study of the performance of reported neural net algorithms for the detection of first breaks in seismic reflection data with regard to accuracy, learning rate and generalisability.

In this paper, the problem of simultaneous wavelet estimation and deconvolution is investigated with a Bayesian approach under the assumption that the reflectivity obeys a Bernoulli-Gaussian distribution. Unknown quantities, including the seismic wavelet, the reflection sequence, and the statistical parameters of reflection sequence and noise are all treated as realizations of random variables ...

The acquisition footprint noise in migrated sections consists of migration artifacts associated with a discrete recording geometry. Such noise can corrupt the interpretation of seismic sections, especially for AVO studies, so it is critical to design an optimal seismic survey that generates the smallest footprint. Our previous work showed that the Seismic Array Theorem can be used to design bet...

This article presents a Matlab-based educational software developed at Aristotle University of Thessaloniki in Greece, in order to familiarize students and young engineers with fundamental concepts of structural dynamics and, in particular, soil–structure interaction problems. This user-friendly educational tool aims to assist the students in comprehending the nature of this complex phenomenon ...

A prominent west-dipping reflection that can be traced in seismic-reflection profiles over an area of 7000 km beneath the Sevier Desert basin of west-central Utah is generally referred to as the Sevier Desert detacbment and is widely regarded as one of tbe best examples of an upper-crustal low-angle normal fault. The absence of evidence for fault-related deformation in drill cuttings and core f...

Some mammals use sound signals for communications and navigation in the air (bats) or underwater (dolphins). Recent biological discovery shows that blind mole rat is capable of detecting and avoiding underground obstacles using reflection from seismic signals. Such a remarkable capacity relies on the ability to localize the source of the reflection with high accuracy and in very low Signal to N...

in this paper some new applications of empirical mode decomposition (emd) and hilbert spectrum in seismic ground-roll attenuation, random noise attenuation and spectral decomposition are introduced. hilbert spectrum is a time-frequency representation for hilbert-huang transform which is obtained by combination of instantaneous frequency (if) concept and intrinsic mode function of empirical mode...

Manual stratigraphic interpretation of modern 3-D seismic images is extremely timeconsuming. We present a method based on nonstationary predictive signal/noise separation for automatically recognizing the occurence of a predefined pattern in seismic images. The method is tested on 2-D synthetic and real seismic images, and is shown to reliably detect the presence of unconformities in both.

A limited seismic investigation of Ball Mountain Dam, an earthen dam near Jamaica, Vermont, was conducted using multiple seismic methods including multi-channel analysis of surface waves (MASW), refraction tomography, and vertical seismic profiling (VSP). The refraction and MASW data were efficiently collected in one survey using a towed land streamer containing vertical-displacement geophones ...