121 citations · 498 across the 31 of their papers we have counts for
Showing 2021Show all
2 papers · 1 filter
physics.geo-ph2021★ 9 cited
Machine learning-based multiscale constitutive modelling: Development and application to dual-porosity mass transfer
Mark Ashworth, Ahmed Elsheikh, Florian Doster
In multiscale modelling, multiple models are used simultaneously to describe scale-dependent phenomena in a system of interest. Here we introduce a machine learning (ML)-based mult…
stat.ML2021★ 4 cited
Deep learning for prediction of complex geology ahead of drilling
Kristian Fossum, Sergey Alyaev, Jan Tveranger +1
During a geosteering operation the well path is intentionally adjusted in response to the new data acquired while drilling. To achieve consistent high-quality decisions, especially…