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Optimum Separation Pressure for Heavy Oils Sequential Separation
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Abstract<p>The estimation of quantity of liquid that is collected from gas/oil separation system is a very complex task because it requires the application of the flash calculations which needs to solve the cubic equation of state and to use some numerical techniques. These difficulties can be overcome by a computer model which requires a lot of experimental data, long time, and experience.</p><p>This paper adopts a new technique to simplify this problem. It suggests new correlations for optimum separator pressure for separation station of heavy oils. The correlations have been achieved for two- and three- stage separation systems.</p><p>The correlations have been created depending on many Iraqi oil samples. The optimum separator pressure of each individual separator was found at the maximum amount of liquid recovered with the minimum oil formation volume factor.</p><p>The Optimum Separator Soave – Redlich – Kwong model (OSSRK) has been adopted to estimate the optimum separator pressure, while the objective functions, like oil formation volume factor, are predicted by Separator Flash Soave – Redlich – Kwong model (SFSRK) (Hassan 2004).</p><p>The optimum separator pressures have been correlated with mole percent of hexane plus in the well stream fluid, mole percent of methane in the well stream fluid, temperature of the separator and the optimum pressure of the previous separator. Nonlinear multiple regression analysis has been applied to get the best correlation for each system.</p><p>Many statistical tests are used to check the validity of the proposed correlations.</p><p>The error percents of API, GOR, Bo between the optimal cases for each model and the relevant correlations show a maximum of 0.047%, 0.3% and 0.15% for two – stage systems, and 0.2%, 0.6% and 0.22% for three – stage systems. Also the cross plot method is applied to test the correlation validity. These checks are good indication to use these correlations with high degree of confidence.</p>
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Publication Date
Fri May 01 2020
Journal Name
Journal Of Physics: Conference Series
New Approach for Solving (1+1)-Dimensional Differential Equation
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Publication Date
Sun Jan 01 2023
Journal Name
Journal Of Interdisciplinary Mathematics
Enforcement for the groups SL(2,125) and SL(2,3125)
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The group for the multiplication of closets is the set G|N of all closets of N in G, if G is a group and N is a normal subgroup of G. The term “G by N factor group” describes this set. In the quotient group G|N, N is the identity element. In this paper, we procure K(SL(2,125)) and K(SL(2,3125)) from the character table of rational representations for each group.

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Publication Date
Mon Oct 01 2018
Journal Name
2018 Ieee/acs 15th International Conference On Computer Systems And Applications (aiccsa)
Utilizing Hopfield Neural Network for Pseudo-Random Number Generator
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Publication Date
Thu May 28 2020
Journal Name
Applied Sciences
THz-TDS for Detecting Glycol Contamination in Engine Oil
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There continues to be a need for an in-situ sensor system to monitor the engine oil of internal combustion engines. Engine oil needs to be monitored for contaminants and depletion of additives. While various sensor systems have been designed and evaluated, there is still a need to develop and evaluate new sensing technologies. This study evaluated Terahertz time-domain spectroscopy (THz-TDS) for the identification and estimation of the glycol contamination of automotive engine oil. Glycol contamination is a result of a gasket or seal leak allowing coolant to enter an engine and mix with the engine oil. An engine oil intended for use in both diesel and gasoline engines was obtained. Fresh engine oil samples were contaminated with fou

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Publication Date
Sat May 01 2021
Journal Name
Journal Of Physics: Conference Series
Modeling the Effect of Particle Packing Density for Sintering
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Abstract<p>This research studies the effect of particle packing density on sintering TiO<sub>2</sub> microstructure. Sintering experiment was conducted on compacts involving of monodisperse spherical TiO2 particles. The experimental results are modeled using L<sup>2</sup>-Regression technique in studing the effect of two theoretical values of 55% and 69% of initial packing densities. The mathematical simulation shows that the lower values of density compacts sintered fast to theoretical density and this reflects that particle packing density improved densification rate because of the competing influence of grain growth at higher values of densities.</p>
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Publication Date
Sat Jan 01 2022
Journal Name
Ieee Access
Fast Computation of Hahn Polynomials for High Order Moments
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Publication Date
Mon Jan 01 2024
Journal Name
Ieee Transactions On Emerging Topics In Computational Intelligence
Reservoir Network With Structural Plasticity for Human Activity Recognition
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Publication Date
Fri Jun 11 2021
Journal Name
Journal Of Computing And Information Technology
A Survey on Emotion Recognition for Human Robot Interaction
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With the recent developments of technology and the advances in artificial intelligent and machine learning techniques, it becomes possible for the robot to acquire and show the emotions as a part of Human-Robot Interaction (HRI). An emotional robot can recognize the emotional states of humans so that it will be able to interact more naturally with its human counterpart in different environments. In this article, a survey on emotion recognition for HRI systems has been presented. The survey aims to achieve two objectives. Firstly, it aims to discuss the main challenges that face researchers when building emotional HRI systems. Secondly, it seeks to identify sensing channels that can be used to detect emotions and provides a literature review

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Publication Date
Tue May 01 2018
Journal Name
Journal Of Physics: Conference Series
Experimental study of some shielding parameters for composite shields
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Publication Date
Sun Jan 01 2023
Journal Name
Aip Conference Proceedings
Estimation of (S-S) reliability for inverted exponential distribution
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