Sharif Digital Repository

Using the original form of Capacitance-Resistance Model (CRM), as a waterflooding performance prediction tool, for modeling real reservoirs makes some unavoidable errors. Combination of this model with available data assimilation methods yields more powerful simulation tool with updating parameters over time. However, the inherent uncertainty arisen by modeling complex reservoirs with only a limited number of CRM parameters is not addressed yet. In this study, the model error behavior has been simulated through a physically-based dynamical system in which it has been correlated with the original model parameters. The ensemble-based Kalman filter (EnKF) data assimilation method has been... 

Capacitance-Resistive Model (CRM), as a fast yet efficient proxy model, suffers from some limitations in modeling relatively complex reservoirs. Some current improvements on this proxy made it a more powerful simulator with updating parameters over time. However, the model's intrinsic uncertainty arisen from simplifying fluid-flow modeling by some limited number of constant parameters is not addressed yet. In this study, this structural limitation of CRM has been addressed by introducing a time-correlated model error, including stochastic and non-stochastic parameters, embedded into this proxy's formulation. The error term's non-stochastic parameters have been tuned to be used in forecasting... 

We present a novel method in which a phase mask is used to modulate a beam in order to produce a large extension in the focal depth at the focus of a lens. © 2005 Optical Society of America  

Capacitance-Resistive Model (CRM), as a fast yet efficient proxy model, suffers from some limitations in modeling relatively complex reservoirs. Some current improvements on this proxy made it a more powerful simulator with updating parameters over time. However, the model's intrinsic uncertainty arisen from simplifying fluid-flow modeling by some limited number of constant parameters is not addressed yet. In this study, this structural limitation of CRM has been addressed by introducing a time-correlated model error, including stochastic and non-stochastic parameters, embedded into this proxy's formulation. The error term's non-stochastic parameters have been tuned to be used in forecasting... 

This article introduces a novel duty-cycle control circuit (DCC) preceding a delay-locked loop (DLL)-based clock frequency multiplier preventing the output duty-cycle over process, supply voltage and temperature (PVT) variations. However, the proposed DCC eliminates the effect of input duty-cycle variation and, hence, decreases the sensitivity to the input jitter and distortion. The circuit realisation in 0.5-μm CMOS technology shows that the duty-cycle variation at the output clock is less than 2.7%, while driving the digital section of a CODEC chip and also test pads. The analysis, confirmed by measurements, shows a stable and accurate response for the proposed clock generation unit (CGU)....