VarPy is an open-source toolbox which provides a Python framework for analysing volcanology and rock physics data. It provides several functions, which allow users to define their own workflows to develop models, analyses and visualisations. The goal of the VarPy library is to accelerate the uptake of computational methods by researchers in volcanology and rock physics. It does this via two mec...

Physical modeling of earthquake generation processes is essential to further our understanding of seismic hazard. However, the scale-dependent nature of earthquake rupture processes is further complicated by the heterogeneous nature of the crust. Despite significant advances in the understanding of earthquake generation processes, and the derivation of underlying physical laws, controversy rema...

Rock physics models allow establishing a physical-mathematical relation between rock and fluid properties and geophysical attributes. In this study, we propose to apply rock physics models to a geophysical dataset measured at two well locations near the proposed Snake River Plain FORGE site in eastern Idaho. The potential target is a rhyolite layer, which occurs between 2,000 and 3,000 m. The a...

This paper describes a methodology for the documentation and analysis of historical buildings. Techniques of digital image processing give the possibility to detect damages, such as moisture or biological changes, on surfaces of monuments. Intensity data obtained from laser scanner equipment and colour information gathered with a digital camera were evaluated for damage identification that affe...

We present a SE(3)-equivariant graph neural network (GNN) approach that directly predicting the formation factor and effective permeability from micro-CT images. FFT solvers are established to compute both permeability, while topology geometry of pore space represented by persistence-based Morse graph. Together, they constitute database for training, validating, testing networks. While Euclidea...

The formation resistivity factor evaluation of brine-filled reservoir rock is an essential part of electrical resistivity log interpretation in petroleum exploration. Empirical relations such as Archie’s law are widely employed to model the relationship between the formation resistivity factor and porosity. Historically, the Archie cementation exponent has been obtained from experimental labora...

A new automatic method for discontinuity traces mapping and sampling on a rock mass digital model is described in this work. The implemented procedure allows one to automatically identify discontinuity traces on a Digital Surface Model: traces are detected directly as surface breaklines, by means of maximum and minimum principal curvature values of the vertices that constitute the model surface...

In this paper we present a stereo feature-based method using SIFT (Scale-invariant feature transform) descriptors. We use automatic feature extractors, matching algorithms between images and techniques of robust estimation to produce a DTM (Digital Terrain Model) using convergent shots of a rock glacier.The geomorphologic structure observed in this study is the Veleta rock glacier (Sierra Nevad...

Reservoir characterization has a leading role in the reservoir geophysics and reservoir management. Since the interests of the reservoir geophysics and reservoir managements are the elastic properties and reservoir properties of the subsurface rock for their purposes, a robust method is required for converting seismic data into elastic properties. Accordingly, by employing a rock physics model ...