History matching is used to constrain flow simulations and reduce uncertainty in forecasts. In this work, we revisited some fundamental engineering tools for predicting waterflooding behavior to better understand the flaws in our simulation and thus find some models which are more accurate with better matching. The Craig-Geffen-Morse (CGM) analytical method was used to predict recovery performa...

This work proposes a Bayesian inference method for the reduced-order modeling of time-dependent systems. Informed by structure governing equations, task learning model from data is posed as inverse problem with Gaussian prior and likelihood. The resulting posterior distribution characterizes operators defining model, hence predictions subsequently issued are endowed uncertainty. statistical mom...

To assess the safety of an existing bridge, the loads to which it may be subject in its lifetime are required. Statistical analysis is used to extrapolate a sample of load effect values from the simulation period to the required design period. Complex statistical methods are often used and the end result is usually a single value of characteristic load effect. Such a deterministic result is at ...

We consider some methods to extract information about the rotator cuff based on magnetic resonance images; the study aims to define an alternative method of display that might facilitate the detection of partial tears in the supraspinatus tendon. Specifically, we are going to use families of ellipsoidal triangular patches to cover the humerus head near the affected area. These patches are going...

In this paper, an efficient deterministic simulation model for the Nakagami-Hoyt fading channel model (Q model) is proposed by using the concept of Rice’s sum of sinusoids. Analytical formulas are derived for the amplitude and phase probability density functions (PDF), level-crossing rate (LCR) and average duration of fades (ADF). By using a numerical optimization procedure, we show how the sta...

A deterministic system of interacting agents is considered as a model for economic dynamics. The dynamics of the system is described by a coupled map lattice with near neighbor interactions. The evolution of each agent results from the competition between two factors: the agent’s own tendency to grow and the environmental influence that moderates this growth. Depending on the values of the para...

We propose a computational method to obtain series expansions in powers of time for general dynamical systems described by a set of hierarchical rate equations. The method is generally applicable to problems in both equilibrium and nonequilibrium statistical mechanics such as random sequential adsorption, diffusion-reaction dynamics, and Ising dynamics. New result of random sequential adsorptio...