Reservoir simulation models are used to forecast future reservoir behavior and to optimally
manage reservoir production. These models require specification of hundreds of thousands …

History matching is a crucial process that enables the calibration of uncertain parameters of
the numerical model to obtain an acceptable match between simulated and observed …

The study in this paper proposed a new framework for history matching of frequently
acquired 4D seismic data. To achieve this goal, the large volumes of seismic data from the …

In this paper, we use a combination of acoustic impedance and production data for history
matching the full Norne Field. The purpose of the paper is to illustrate a robust and flexible …

Imaging-type monitoring techniques are used in monitoring dynamic processes in many
domains, including medicine, engineering, and geophysics. This paper aims to propose an …

We propose a quantitative model-based workflow for conformance verification of CO 2
storage projects. Bayesian inference is applied to update an ensemble of simulation models …

Abstract Model errors are ubiquitous in practical history matching problems. A common
approach in the literature to accounting for model errors is to treat them as random variables …

Ensemble-based smoothers are well-known data assimilation tools in reservoir applications,
including history matching and geophysical inversion. They entail the knowledge of the …

We consider estimation of absolute permeability from inverted seismic data. Large amounts
of simultaneous data, such as inverted seismic data, enhance the negative effects of Monte …

As more and more types of geophysical measurements informing about different
characteristics of subsurface formations are available, effectively synergizing the information …