Determining flows and transfers in natural Discrete Fracture Networks (DFNs) receives more and more attention in applied geosciences, from oil and gas industry, geothermal recovery, to CO2 sequestration issues. Geological characterization of these DFN is becoming more and more accurate. So, accounting for the details of the flow inside the fracture network, and later modelling the transfers bet...

Multi-atlas segmentation approach is one of the most widely-used image segmentation techniques in biomedical applications. There are two major challenges in this category of methods, i.e., atlas selection and label fusion. In this paper, we propose a novel multi-atlas segmentation method that formulates multi-atlas segmentation in a deep learning framework for better solving these challenges. T...

Abstract We investigate the problem of fluid injection at constant pressure in a 2D Discrete Fracture Network (DFN) with randomly oriented and uniformly distributed frictionally-stable fractures. show that this shares similarities simpler scenario single planar shear fracture, investigated by Bhattacharya Viesca (2019); (2021) whose results are here extended to include closed form solutions for...

The Doyle-Fuller-Newman framework is the most popular physics-based continuum-level description of chemical and dynamical internal processes within operating lithium-ion-battery cells. With sufficient flexibility to model a wide range battery designs chemistries, provides an effective balance between detail, needed capture key microscopic mechanisms, simplicity, solve governing equations at rel...

When building a model of a naturally fractured reservoir, it is not sufficient to produce a highly detailed static model, it is also necessary that such a model can be flow simulated so that the production response given by the flow simulator can be compared to production history of the field. The technique that we present here takes a highly detailed static model of fractures, and identifies t...

Abstract. Crystalline rocks are inherently more or less densely permeated by fractures at very different scales. They often represent the hydraulically dominant flow paths compared to low-permeable matrix. Consequently, finding potential sites for high-level waste repositories in crystalline host rock is challenging. Fracture inter-connectivity significantly affects geomechanical integrity and ...

Abstract Understanding the natural fracture network is essential for geothermal-related investigations. However, geometrical attributes depend on scale of observation. Therefore, a multiscale characterization to ensure that heat and flow simulations are based stochastically generated discrete models representative system observed. The objective this project was understand effect data performanc...

DandeLiion (available at dandeliion.com) is a robust and extremely fast solver for the Doyle Fuller Newman (DFN) model, standard electrochemical model (dis)charge of planar lithium-ion cell. conserves lithium, uses second order spatial discretisation method (enabling accurate computations using relatively coarse discretisations) many times faster than its competitors. The code can be used "in c...

Abstract A discrete fracture network (DFN) model based on non-parametric kernel density estimators (KDE) and directional-linear statistics is developed. The provides a characterization of the with distributions orientation size jointly. solution to Bertrand paradox used for calculation disk sizes from trace lengths, latter calculated intersection disks highwall faces by triangulation. Poisson p...

The GRIDWELTEN project aims to evaluate and make recommendations regarding the use of high performance computing resources accessible through Grid software and architectures. The metric for this comparison will be the expectations and requirements of the user situated at the sites of the project partners and at other HPC-centers throughout Germany. Typical user groups will come from many areas ...