581 citations · 721 across the 8 of their papers we have counts for
9 papers
Percolation without trapping: how Ostwald ripening during two-phase displacement in porous media alters capillary pressure and relative permeability
Ademola Isaac Adebimpe, Sajjad Foroughi, Branko Bijeljic +1
Conventional measurements of two-phase flow in porous media often use completely immiscible fluids, or are performed over time-scales of days to weeks. If applied to the study of g…
DeepFlow: History Matching in the Space of Deep Generative Models
Lukas Mosser, Olivier Dubrule, Martin J. Blunt
The calibration of a reservoir model with observed transient data of fluid pressures and rates is a key task in obtaining a predictive model of the flow and transport behaviour of…
Multimodal Functions as Flow Signatures in Complex Porous Media
Branko Bijeljic, Ali Q. Raeini, Qingyang Lin +1
This study refutes the premise that the distribution of flow speeds in complex porous media can be described by a simple function such as a normal or exponential variation. In many…
Stochastic seismic waveform inversion using generative adversarial networks as a geological prior
Lukas Mosser, Olivier Dubrule, Martin J. Blunt
We present an application of deep generative models in the context of partial-differential equation (PDE) constrained inverse problems. We combine a generative adversarial network…
Conditioning of three-dimensional generative adversarial networks for pore and reservoir-scale models
Lukas Mosser, Olivier Dubrule, Martin J. Blunt
Geostatistical modeling of petrophysical properties is a key step in modern integrated oil and gas reservoir studies. Recently, generative adversarial networks (GAN) have been show…
Stochastic reconstruction of an oolitic limestone by generative adversarial networks
Lukas Mosser, Olivier Dubrule, Martin J. Blunt
Stochastic image reconstruction is a key part of modern digital rock physics and materials analysis that aims to create numerous representative samples of material micro-structures…