activity
20192026
most citedA Predictive Model for Steady-State Multiphase Pipe Flow: Machine Learning on Lab Data

103 citations · 141 across the 4 of their papers we have counts for

collaborators

5 papers

physics.flu-dyn2026

A semi-infinite hydraulic fracture propagating in a poroelastic medium

Evgenii Kanin, Andreas Möri, Dmitry Garagash +1

We solve the near-tip coupled hydromechanical problem of a hydraulic fracture propagating in a permeable poroelastic medium, represented locally as a semi-infinite crack moving at…

physics.geo-ph2026

Steadily moving semi-infinite fracture in plane poroelasticity

Evgenii Kanin, Andreas Möri, Dmitry Garagash +1

We present a boundary integral formulation for steadily propagating semi-infinite plane strain tensile and shear fractures in poroelastic media. By combining fundamental solutions…

physics.geo-ph2023★ 17 cited

CO2 storage in deep saline aquifers: evaluation of geomechanical risks using integrated modeling workflow

Evgenii Kanin, Igor Garagash, Sergei Boronin +5

CO2 injection into a saline aquifer crossed by a tectonic fault is studied with coupled fluid mechanics - geomechanics modeling. The simulation approach is based on coupling of the…

cs.LG2021★ 21 cited

Development of Deep Transformer-Based Models for Long-Term Prediction of Transient Production of Oil Wells

Ildar Abdrakhmanov, Evgenii Kanin, Sergei Boronin +2

We propose a novel approach to data-driven modeling of a transient production of oil wells. We apply the transformer-based neural networks trained on the multivariate time series c…

physics.data-an2019★ 103 cited

A Predictive Model for Steady-State Multiphase Pipe Flow: Machine Learning on Lab Data

Evgenii Kanin, Andrei Osiptsov, Albert Vainshtein +1

Engineering simulators used for steady-state multiphase pipe flows are commonly utilized to predict pressure drop. Such simulators are typically based on either empirical correlati…