Sequential Gaussian simulation (sgsim) and sequential indicator simulation (sisim) have emerged as powerful tools for stochastic imaging of Earth Science phenomena and are currently widely accepted fast simulation algorithms. In this paper, we will expand the sequential simulation toolbox by relying on a recent development in geostatistical theory (Journel, 1994) denoted as direct sequential si...

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...

We present a method for obtaining efficient probabilistic solutions to geostatistical and linear inverse problems in spherical geometry. Our Spherical Direct Sequential Simulation (SDSSIM) framework combines information from possibly noisy observations, that provide either point on the model or are related by averaging kernel, statistics derived a-priori information. It generates realizations m...

Stochastic seismic inversion is a family of inversion algorithms in which the inverse solution was carried out using geostatistical simulation. In this work, a new 3D stochastic seismic inversion was developed in the MATLAB programming software. The proposed inversion algorithm is an iterative procedure that uses the principle of cross-over genetic algorithms as the global optimization techniqu...

The one dimension computational model of a sequential injection engine, which runs on compressed natural gas (CNG) with spark ignition, is developed for this study, to simulate the performance of gas flow pressure profile, under various speed conditions. The computational model is used to simulate and study of the steady state and transient processes of the intake manifold. The sequential injec...

reliable characterization of subsurface soil in urban areas is a major concern in geotechnical and geological engineering projects. in this regard, this research deals with development of a 3d geological engineering model on mashhad city soil using sequential gaussian simulation (sgs) approach. the intense variability of soil in the study area has sometimes caused serious problems in civil engi...

Accurate timing analysis of digital integrated circuits is becoming harder to achieve with current and future CMOS technologies. The shrinking feature sizes lead to increasingly important local process variations (PV), making existing methods like corner-based static timing analysis (STA) yield overly pessimistic results. In this paper we propose a general purpose statistical circuit simulator ...

Streamlines have proven useful for visualizing and solving complex history-matching problems that enhance reservoir description. This paper presents a novel, multiple-scale streamline-based technique that perturbs the reservoir model in a manner fully consistent with prior geological data. Streamlines define dynamic drainage zones around production wells and the mismatch between historical and ...

seismic inversion is a method that extracts acoustic impedance data from the seismic traces. sourcewavelets are band-limited, and thus seismic traces do not contain low and high frequency information.therefore, there is a serious problem when the deterministic seismic inversion is applied to real dataand the result of deterministic inversion is smooth. low frequency component is obtained from w...