History matching is a type of inverse problem in which observed reservoir behavior is used
to estimate reservoir model variables that caused the behavior. Obtaining even a single …

The closed-loop reservoir management technique enables a dynamic and real-time optimal
production schedule under the existing reservoir conditions to be achieved by adjusting the …

We investigate artificial neural networks as a parametrization tool for stochastic inputs in
numerical simulations. We address parametrization from the point of view of emulating the …

Inference of heterogeneous rock properties from low-resolution dynamic flow measurements
often leads to underdetermined nonlinear inverse problems that can have many non-unique …

In gradient-based automatic history matching, calculation of the derivatives (sensitivities) of
all production data with respect to gridblock rock properties and other model parameters is …

In a previous paper, we developed a theoretical basis for parameterization of reservoir
model parameters based on truncated singular value decomposition (SVD) of the …

Construction of predictive subsurface flow models involves subjective interpretation and
interpolation of spatially limited data, often using imperfect modeling assumptions. Hence …

History matching problems are typically underdetermined and are at once confronted with
the problems of solution non-uniqueness, instability, and the ability to both reproduce field …

We consider the impact of using time-lapse seismic data in addition to production data for
permeability estimation in a porous medium with multiphase fluid flows, such as a petroleum …

Identification of reservoir connectivity is critical for reliable production predictions and field-
development planning. Field-scale connectivity is particularly important at early stages when …