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20202023
most citedPractical approaches to study microbially induced calcite precipitation at the field scale

74 citations

Showing physics.geo-phShow all

5 papers · 1 filter

physics.geo-ph20228 cited

Probabilistic forecasting for geosteering in fluvial successions using a generative adversarial network

Sergey Alyaev, Jan Tveranger, Kristian Fossum +1

Quantitative workflows utilizing real-time data to constrain ahead-of-bit uncertainty have the potential to improve geosteering significantly. Fast updates based on real-time data…

physics.geo-ph202217 cited

Probabilistic model-error assessment of deep learning proxies: an application to real-time inversion of borehole electromagnetic measurements

Muzammil Hussain Rammay, Sergey Alyaev, Ahmed H Elsheikh

The advent of fast sensing technologies allows for real-time model updates in many applications where the model parameters are uncertain. Bayesian algorithms, such as ensemble smoo…

physics.geo-ph20221 cited

Numerical studies of long-term wettability alteration effects in CO storage applications

David Landa-Marbán, Kundan Kumar, Sarah Eileen Gasda +2

The wettability of the rock surface in porous media has an effect on the constitutive saturation functions that govern capillary pressure and relative permeability. The term wettab…

physics.geo-ph202074 cited

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…

physics.geo-ph20202 cited

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…