... Abstract Objectives/Scope History matching large, complex fields has remained time consuming, and valid probabilistic uncertainty quantification has been a distant goal. Significant advances have been made recently in the development of improved sampling algorithms, efficient and accurate...

... Abstract History matching with uncertainty quantification has been a topic of great interest over the last 10 years, with many algorithmic approaches developed, and many applications presented. Most of the applications focus on the uncertainty in the petrophysical properties of the reservoir...

... Abstract Polynomial Chaos Expansions (PCE) as applied with the Probabilistic Collocation Method (PCM) has been shown to be a promising approach for uncertainty quantification in reservoir simulation. In particular, it has been shown to be more accurate and efficient compared to traditional...

...Background Uncertainty Quantification Techniques Determining how to effectively exploit oil and gas reservoirs is a central goal in reservoir management ( Thakur 1996 ). Today's competitive economic situation requires cost-effective production technology to profitability produce petroleum...

... Abstract Recent computer developments allow the quantification of geological and physical uncertainties in the appraisal phase of a reservoir using numerical flow simulation. However, such a process is normally performed with a fixed production strategy because a variable strategy is very time...

... Abstract This paper will describe a strategy for rapid quantification of uncertainty in reservoir performance prediction. The strategy is based on a combination of streamline and conventional finite difference simulators. Our uncertainty framework uses the Neighbourhood Approximation algorithm...