Ground Penetrating Radar (GPR) is an effective and practical geophysical imaging tool, with a wide set of applications in geological mapping of subsurface information. This research study aims at determination of the geophysical parameter differences in the subsurface geological structures and construction of a 3D fracture model. GPR and resistivity methods were applied to detect the unstable t...

We introduce a new synthetic marine model for 3D controlled-source electromagnetic method (CSEM) surveys. The proposed includes relevant features the geophysical community such as large conductivity contrast with vertical transverse isotropy and complex bathymetry profile. In this paper, we present experimental setup several CSEM simulations in presence of resistivity unit denoting hydrocarbon ...

This paper presents a novel plume experiment which dimensions are not the typical ones. The presented experiment is very interesting and original because it is between the laboratory and the real geophysical situations. It is clearly stated by the authors that they experimental results agree with the classical model of Morton et al. (1956). The paper studies the heat instabilities of the plume ...

[1] Quantifying the spatial configuration of hydraulic conductivity (K) in heterogeneous geological environments is essential for accurate predictions of contaminant transport, but is difficult because of the inherent limitations in resolution and coverage associated with traditional hydrological measurements. To address this issue, we consider crosshole and surface‐based electrical resistivity...

Reservoir modeling is the process of generating numerical representations of reservoir conditions and properties on the basis of geological, geophysical, and engineering data measured on the Earth’s surface or in depth at a limited number of borehole locations. Therefore, reservoir modeling requires an incorporation of the data from a variety of sources, along with an integration of knowledge a...

To retrieve a sparse model, we applied the hybrid norm conjugate-direction (HBCD) solver proposed by Claerbout to two interesting geophysical problems: least-squares imaging and blind deconvolution. The results showed that this solver is robust for generating sparse models.

Geophysical phenomena are observable events with spatiotemporal characteristics. These phenomena can have spatial extent and shape but the intensities are generally not homogeneous within this spatial extent. These phenomena also evolve, grow and perish over time. Therefore, developing a robust detection algorithm for geophysical phenomena is difficult and challenging. This paper presents a hyb...