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7 papers · 1 filter
Impact of Time-Dependent Wettability Alteration on the Dynamics of Capillary Pressure
Abay M. Kassa, Sarah E. Gasda, K. Kumar +1
Wettability is a pore-scale property that has an important impact on capillarity, residual trapping, and hysteresis in porous media systems. In many applications, the wettability o…
Spectral Clustering with Graph Neural Networks for Graph Pooling
Filippo Maria Bianchi, Daniele Grattarola, Cesare Alippi
Spectral clustering (SC) is a popular clustering technique to find strongly connected communities on a graph. SC can be used in Graph Neural Networks (GNNs) to implement pooling op…
An iterative staggered scheme for phase field brittle fracture propagation with stabilizing parameters
Mats Kirkesæther Brun, Thomas Wick, Inga Berre +2
This paper concerns the analysis and implementation of a novel iterative staggered scheme for quasi-static brittle fracture propagation models, where the fracture evolution is trac…
A Decision Support System for Multi-target Geosteering
Sergey Alyaev, Erich Suter, Reidar Bratvold +2
Geosteering is a sequential decision process under uncertainty. The goal of geosteering is to maximize the expected value of the well, which should be defined by an objective value…
Ensemble-based kernel learning for a class of data assimilation problems with imperfect forward simulators
Xiaodong Luo
Simulator imperfection, often known as model error, is ubiquitous in practical data assimilation problems. Despite the enormous efforts dedicated to addressing this problem, proper…
Revising the stochastic iterative ensemble smoother
Patrick N. Raanes, Geir Evensen, Andreas S. Stordal
Ensemble randomized maximum likelihood (EnRML) is an iterative (stochastic) ensemble smoother, used for large and nonlinear inverse problems, such as history matching and data assi…