In this article we present a new method for seismic image restoration. When observed, a seismic image is the result of an initial deposit system that has been transformed by a set of successive geological deformations (flexures, fault slip, etc) that occurred over a large period of time. The goal of seismic restoration consists in inverting the deformations to provide a resulting image that dep...

Image segmentation can automatically delineate salt bodies in seismic data, an otherwise human-intensive and time-consuming task. In many instances, current segmentation algorithms successfully pick salt boundaries; a logical extension of such work is to apply these methods to the task of building and updating seismic velocity models. We apply image segmentation tools in conjunction with sedime...

In this paper we present novel strategies for completion of 5D pre-stack seismic data, viewed as a 5D tensor or as a set of 4D tensors across temporal frequencies. In contrast to existing complexity penalized algorithms for seismic data completion, which employ matrix analogues of tensor decompositions such as HOSVD or use overlapped Schatten norms from different unfoldings (or matricization) o...

The island of Cephalonia, Western Greece, was struck by two strong seismic events, with magnitudes, ML= 5.8 and ML = 5.7 which occurred on Jan. 26, 2014 and Feb. 3, 2014 respectively. The first event was located near Argostoli’s town, whereas the second one was located at the north part of Livadi village. These two strong earthquake events followed by smaller aftershocks provoking extensive cru...

A ventilation simulator is implemented in android mobile devices to simulate the mechanics of the human lung. The simulation results shall be displayed by a dynamic plot to illustrate the trend of the ventilation parameters in real-time. The chosen software library to perform the plots is AndrodPlot [1]. The library provides basic features and tutorials for dynamic plotting. Tests were performe...

Current rising energy demand/supply ratio trends are forecast to continue into the foreseeable future. As a consequence, effective and efficient seismic surveying and processing techniques are required now more than ever. Unfortunately those outside of organizations with the resources to develop their own processing and/or visualization packages, or license proprietary third-party ones, must ma...

This paper describes the ground target detection, classification and sensor fusion problems in distributed fiber seismic sensor network. Compared with conventional piezoelectric seismic sensor used in UGS, fiber optic sensor has advantages of high sensitivity and resistance to electromagnetic disturbance. We have developed a fiber seismic sensor network for target detection and classification. ...