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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
Tue Aug 15 2023
Journal Name
Al-academy
Aesthetic references for reductive forms in contemporary Iraqi sculpture
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Reduction has been linked visually in art since man began making functional and aesthetic forms, and this beginning can be identified with cave paintings. Reduction is one of the clearest indications of intellectual presence in aesthetic experience. Modernism was greatly supported by the great transformations that the intellectual movement witnessed in the world in general and in Europe in particular. There, and their transfer of European artistic experiences, and the reflection of this influence in their aesthetic sculptures, and for this reason the researchers find that the study of the aesthetic references of the reductive forms in the Iraqi sculptural experience represents a great importance in the study of the history of contemporar

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Publication Date
Thu Jan 31 2019
Journal Name
Journal Of The College Of Education For Women
The Quantitative Analysis for Road networks in Karbala Governorate
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The road networks is considered to be one of the determinants that controls to specify the areas of human activities, which it depend on to specify the arrival cost , in addition it is useful to achieve the connectivity for interaction and human activities , and shorten the distance and time between the population and places of service. The density of the road network in any space directly affected by the density of population and the type of economic activities and administrative functions performed by the space. On this basis, the subject of this study is reflected in the quantitative analysis of the roads network in the Governorate of Karbala. The study consists the quantitative analysis for the roads network and the Urban Nodes in th

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Publication Date
Wed Jul 01 2015
Journal Name
Journal Of Engineering
Block-Iterative Frequency-Domain Equalizations for SC-IDMA Systems
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In wireless broadband communications using single-carrier interleave division multiple access (SC-IDMA) systems, efficient multiuser detection (MUD) classes that make use of joint hybrid decision feedback equalization (HDFE)/ frequency decision-feedback equalization (FDFE) and interference cancellation (IC) techniques, are proposed in conjunction with channel coding to deal with several users accessing the multipath fading channels. In FDFE-IDMA, the feedforward (FF) and feedback (FB) filtering operations of FDFE, which use to remove intersymbol interference (ISI), are implemented by Fast Fourier Transforms (FFTs), while in HDFE-IDMA the only FF filter is implemented by FFTs. Further, the parameters involved in the FDFE/

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Publication Date
Sun Sep 01 2019
Journal Name
Indian Journal Of Public Health Research &amp; Development
Serum Ferritin Levels for Iraqi Patients with Hashimoto's Thyroiditis
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Background: The estimation of ferritin and related variables by complete serum iron profile, for Iraqi hashimoto’s patients to see the effect of thyroid hormone insufficiency, which may lead to deficiency of ferritin iron stores, this may be quite useful during the diagnosis and treatment of hashimoto’s patients. Patients and Method: The study was performed at National Center of Teaching laboratories of Medical city institute in Baghdad. Fifty newly diagnosed patients with hashimoto’s and forty apparently healthy controls. Diagnosis based on thyroid profile analysis including:Thyroid Stimulating Hormone (TSH), Thyroxine (totalT4) and Triiodothyronine (total T3), estimation of antibodies against thyroperoxidase, iron profile including:

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Publication Date
Sun Jan 27 2019
Journal Name
Journal Of The College Of Education For Women
Al-arbaeen Al-boldniy for Ibin Asker Historical Study
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Fortieth book is IbnAssaker mechanisms of modern books authored attention appeared amenable to the Messenger of Allah's will (Fife da upon h-d) in his emotional tempting scientists say despite his weakness and preached it save forty Hadith of year necessitated intercession and entering heaven eh Fife FA scientists 1940s h.g. Gae updated combines forty Hadith on a particular topic, authored destinations differed and collected and compiled, the first item in the 1940s that Abdul Rahman Abdullah ibn al-mubaarakmarvzishaikAssaker promised more than thirty workbook in this kind of composition topics varied between consolidation and conversations prove the Almighty Barry qualities, conversations provisions, worship, preaching, and of them only

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Publication Date
Sun Mar 01 2020
Journal Name
Gazi University Journal Of Science
Reliable Iterative Methods for Solving the Falkner-Skan Equation
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Publication Date
Sun Oct 03 2021
Journal Name
Journal Of Discrete Mathematical Sciences And Cryptography
Analysing the structure of A4-graphs for Mathieu groups
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Publication Date
Fri Dec 06 2019
Journal Name
Karbala International Journal Of Modern Science
Stereo Photogrammetry vs Computed Tomography for 3D Medical Measurements
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Publication Date
Wed Sep 01 2021
Journal Name
Iraqi Journal Of Physics
Toxic Gas Response for Nanostructured Cobalt Oxide Thin Films
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 The gas sensing properties of undoped Co3O4 and doped with Y2O3 nanostructures were investigated. The films were synthesized using the hydrothermal method on a seeded layer. The XRD, SEM analysis and gas sensing properties were investigated for the prepared thin films. XRD analysis showed that all films were polycrystalline, of a cubic structure with crystallite size of (12.6) nm for cobalt oxide and (12.3) nm for the Co3O4:6% Y2O3. The SEM analysis of thin films indicated that all films undoped Co3O4 and doped possessed a nanosphere-like structure.

The sensi

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Publication Date
Thu Sep 24 2026
Journal Name
Baghdad Science Journal
Hybrid Deep-Machine Learning for Butterfly Species Image Classification
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Classifying butterfly species is crucial in biodiversity studies and environmental monitoring. However, manual classification is often a laborious process that requires specialized expertise and is prone to error, especially when species have similar visual characteristics. To address these drawbacks, this paper presents a hybrid approach that combines machine learning with deep learning for feature extraction. To enhance the visibility of important features, preprocessing techniques such as background removal and binarization are applied to butterfly images. Feature extraction was performed using the SqueezeNet convolutional neural network, pretrained on the ImageNet dataset. By discarding the final classification layer, the networ

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