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9 papers · 1 filter
Practical approaches to study microbially induced calcite precipitation at the field scale
David Landa-Marbán, Svenn Tveit, Kundan Kumar +1
Microbially induced calcite precipitation (MICP) is a new and sustainable technology which utilizes biochemical processes to create barriers by calcium carbonate cementation; there…
An interactive sequential-decision benchmark from geosteering
Sergey Alyaev, Reidar Brumer Bratvold, Sofija Ivanova +2
Geosteering workflows are increasingly based on the quantification of subsurface uncertainties during real-time operations. As a consequence operational decision making is becoming…
Modeling of relative permeabilities including dynamic wettability transition zones
Abay M. Kassa, Sarah E. Gasda, K. Kumar +1
Wettability is a pore-scale property that impacts the relative movement and distribution of fluids in a porous medium. There are reservoir fluids that provoke the surface within po…
On the Convergence of Tsetlin Machines for the IDENTITY- and NOT Operators
Xuan Zhang, Lei Jiao, Ole-Christoffer Granmo +1
The Tsetlin Machine (TM) is a recent machine learning algorithm with several distinct properties, such as interpretability, simplicity, and hardware-friendliness. Although numerous…
Modeling extra-deep electromagnetic logs using a deep neural network
Sergey Alyaev, Mostafa Shahriari, David Pardo +4
Modern geosteering is heavily dependent on real-time interpretation of deep electromagnetic (EM) measurements. We present a methodology to construct a deep neural network (DNN) mod…
Iterative solution of the Lippmann-Schwinger equation in strongly scattering acoustic media by randomized construction of preconditioners
Kjersti Solberg Eikrem, Geir Nævdal, Morten Jakobsen
In this work the Lippmann-Schwinger equation is used to model seismic waves in strongly scattering acoustic media. We consider the Helmholtz equation, which is the scalar wave equa…