Sequential simulation of a continuous variable usually requires its transformation into a binary or a Gaussian variable, giving rise to the classical algorithms of sequential indicator simulation or sequential Gaussian simulation. Journel (1994) showed that the sequential simulation of a continuous variable, without any prior transformation, succeeded in reproducing the covariance model, provid...

Abstract We consider the problem of learning level set for which a noisy black-box function exceeds given threshold. To efficiently reconstruct set, we investigate Gaussian process (GP) metamodels. Our focus is on strongly stochastic simulators, in particular with heavy-tailed simulation noise and low signal-to-noise ratio. guard against misspecification, assess performance three variants: (i) ...

The objective of our study was to simulation of carbon monoxide (CO) dispersion exited from the stacks of a cement industry of Doroud, Iran by Gaussian Model (GM). Four sampling period was conducted to measurement of CO from the factory's three-stack flow during one year. The input parameters for were the rate of CO emission, meteorological data, factors of related to the stack, and factors of ...

The fracture characterization using a geostatistical tool with conditioning data is computationally efficient for subsurface flow and transport applications. main objective of the paper to propose framework methods model network. In method, we have chosen neighborhood area apply Gaussian Sequential Simulation in order generate network unknown region. angle was propagated from seed where guide d...

Sequential Bayesian estimation for nonlinear dynamic state-space models involves recursive estimation of filtering and predictive distributions of unobserved time varying signals based on noisy observations. This paper introduces a new filter called the Gaussian particle filter1. It is based on the particle filtering concept, and it approximates the posterior distributions by single Gaussians, ...

Abstract This study focuses on constructing a 3D geo-cellular model by using well-log data and other geological information to enable deep investigation of the reservoir characteristics estimation hydrocarbon potential in clastic marginal field offshore Vietnam. In this study, Petrel software was adopted for geostatistical modeling. First, sequential indicator simulation (SIS) facies Next, Gaus...

Computations are developed for the synthesis of a finite state machine (FSM) embedded in a known FSM such that their combined behavior satisfies a co-Büchi specification (the solution must finally enter an acceptable set of states and stay there forever). The procedures for this are shown to be very similar to those used for regular (non-omega) automata, except for a final step in which a set o...

We used the sequential stereopsis paradigm and apparatus described by Enright (Vision Research, 36, (1996) 307-312). The observer's task was to set targets to equidistance in Experiments 1-3, and to make them co-planar in Experiment 4. However, it is argued that in all experiments observers exploited a co-planarity setting strategy. Sequential stereopsis produced good performance throughout in ...