Bayesian methods for full-waveform inversion allow quantification of uncertainty in the
solution, including determination of interval estimates and posterior distributions of the …

Time-lapse seismic monitoring using full-wavefield methods aims to accurately and robustly
image rock and fluid changes within a reservoir. These changes are typically small and …

The increasing demand for fossil energy necessitates forecasting of reservoir performance
and informed decision-making under various production scenarios. Although reservoir …

The Husmuli zone of the SW-Iceland Hellisheidi geothermal field is currently being used for
re-injection of geothermal fluids and geothermal CO 2 for its permanent storage in the form …

We present numerical approaches for solving a pseudo-parabolic partial differential
equation, which models incompressible two phase flow in porous media taking into account …

Core-scale experiments and analyses would often lead to estimation of saturation functions
(relative permeability and capillary pressure). However, despite previous attempts on …

Two-phase flows in oil reservoirs can be modeled by a coupled system of elliptic and
hyperbolic partial differential equations. The transport velocity of the multiphase fluid system …

Bayesian seismic inversion can be used to sample from the posterior distribution of the
velocity field, thus allowing for uncertainty quantification. However, Bayesian techniques like …

In monitoring subsurface aquifer contamination, we want to predict quantities—fractional
flow curves of pollutant concentration—using subsurface fluid flow models with expertise …

The characterization of subsurface formations is a formidable task due to the high dimension
of the stochastic space involved in the solution of inverse problems. To make the task …