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| 1 | 基于质量守恒边界条件的船舶艉轴承润滑性能分析显示文摘以船舶艉轴承为研究对象,基于质量守恒边界条件,编制相应的润滑仿真程序,研究艉轴承的润滑性能,探讨轴承润滑性能随轴承运行参数(如转速、轴承宽度、外载荷及空穴压力等)变化的规律。研究表明:质量守恒边界条件相比于雷诺边界条件,更加接近实际情况;空穴压力的增大并不总是有损轴承的承载力;随着空穴压力和轴承宽度的增大,偏心率和最大油膜压力都减小;随着外载荷的增加,油膜压力和空穴区域大小逐渐增大,呈现出很强的非线性趋势;随着转速的增大,油膜压力峰值减小;空穴区域随转速增大而增大,其位置会向最大轴承间隙处移动。 | Salaheldin A Mohamad 朱晶智 卢熙群 | 2014 | 润滑与密封2014，39，12： | 5 |
| 2 | New insights into porosity determination using artificial intelligence techniques for carbonate reservoirs显示文摘The porosity of the petroleum reservoirs is considered one of the most important parameters in reserve estimation because it determines the effective volume of the hydrocarbon that is stored in the reservoir.Based on the reserve estimation,the development plan can be set and managed.Porosity can be determined in the laboratory which is the most expensive methods.Porosity also can be determined from the logs such as density,neutron,sonic,and NMR logs.There are a lot of uncertainties in the porosity estimation from wireline logs because it depends on many statistical analysis and also is affected by the logging environment and logging tools.The prediction of the porosity from different porosity logs using artificial intelligence(AI)methods validated with the laboratory measured values is the best method to determine an accurate value of the rock porosity.The objective of this research is to evaluate AI tools such as artificial neural network(ANN),Support vector machine(SVM)and Adaptive neuro fuzzy inference system(ANFIS)to predict the reservoir porosity based on wireline log data.More than 1700 field measurements of porosity with logs data were used for training and testing the AI techniques.The results obtained showed that ANN and ANFIS can be used to estimate the reservoir porosity based on log data with a high correlation coefficient(R)and low average absolute percentage error(AAPE).The main inputs required for porosity estimation are bulk density,neutron porosity,and sonic compressional time.The developed mathematical equation based on the weights and bias of the ANN model can be used to predict the reservoir porosity based on log data with a correlation coefficient of 0.98 and an AAPE less than 8%.The advantage of this work is that we extracted the mathematical model from the ANN that can be used directly to determine the porosity without the need for training and testing the data.The porosity estimation from the neutron-density crossplots,which is the current technique used by the industry,yielded 14.7%error. | Salaheldin Elkatatny Zeeshan Tariq Mohamed Mahmoud Abdulazeez Abdulraheem | 2018 | Petroleum2018，4，4： | 2 |
| 3 | Numerical modeling of three-dimensional flow field around circular piers 显示文摘 | SALAHELDIN T M IMRAN J CHAUDHRY M H | 2003 | Journal of Hydraulic Engineering2003，130，2： | 1 |
| 4 | Comparisons of the H.264 and H.263 Video Compression Standards显示文摘The International Telecommunications Union (ITU-T) and the International Standardization Organization/International Electrotechnical Commission (ISO/IEC) are the only two formal organizations that developed video coding standards. The ITU-T video coding standards called recommendations and are usually optimized for real-time video communication such as videoconference and video telephony while the ISO/IEC standards are mainly designed for storage (DVD) and broadcast (satellite and digital TV). ITU-T and the ISO/IEC JTC1 have agreed to join their efforts in the development of H.264 standard, which was initiated by ITU-T committee. The ITU-T H.264 video coding standard has been developed to achieve significant improvements over the existing standards in compression performance, although the basic coding framework of the standard is similar to that of the existing standards. H.264 standard is compared with H.263 and test results showed the coding gains obtained by the H.264 encoder is over the H.263 encoder for Common Intermediate Format (CIF) and Quarter Common Intermediate Format (QCIF)sequences, respectively. H.264 achieves an average of 4 dB PSNR(peak signal-to-noise rate) gain for the selected ten CIF sequences at 30 frames per second, and 4.57 dB Peak Signal–to–Noise Rate (PSNR) gain for the selected ten QCIF sequences at 30 frames per second. | SALAHELDIN Ali Aboulkhsam | 2007 | Computer Aided Drafting,Design and Manufacturing2007，17，1： | 1 |
| 5 | Impact of vitamin D receptor gene polymorphisms in pathogenesis of Type-1 diabetes mellitus显示文摘 | Kamel MM Fouad SA Salaheldin O | 2014 | lnt J Clin Exp Med2014，7，： | 1 |
| 6 | Prediction of Transverse Flange Stresses in a Simple Box Girder显示文摘 | Salaheldin M Schmidt L C | 1991 | Journal of Constructional Steel Research1991，19，3： | 1 |
| 7 | The Implementation of World Class Manufacturing Techniques in Egyptian Manu- facturing Firms : An Empirical Study 显示文摘 | Salaheldin I S Riyad E | 2007 | Industrial Man- agement & Data Systems2007，107，4： | 1 |
| 8 | Nu- merical modeling of three-dimensional flow field arou- nd circular piers显示文摘 | SALAHELDIN T M IMRAN J CHAUDHRY H | 2004 | Journal of Hydraulic Engineering ASCE2004，130，2： | 1 |
| 9 | Role of finegrained sediment in turbidity current flow dynamics and resulting depoits显示文摘 | Salaheldin T M Imran J Chaudhry M H Reed C | 2000 | Marine Geology2000，171，： | 1 |
| 10 | Implication of glutathione S - transferase M1 and T1 polymorphisms in the development of senile cataract among Egyp- tians 显示文摘 | Amira A Abdel Azeem Amany A Mahmoud Mostafa M Salaheldine Khalda Amr | 2009 | Bratislavske lek6rske listy2009，110，11： | 1 |
| 11 | Numerical modeling of three-dimensional flow field around circular piers 显示文摘 | Salaheldin T M Irnran J Chaudhry M H | 2004 | Journal of Hydraulic Engineering2004，130，2： | 1 |
| 12 | Factors Influending the Stage of MRP Implementation: An Empirical Study显示文摘 | Salaheldin Ismail | 2004 | Problems & Perspectives in Management2004，2，3： | 1 |
| 13 | Development of new correlations for the oil formation volume factor in oil reservoirs using artificial intelligent white box technique显示文摘Oil formation volume factor(OFVF)is considered one of the main parameters required to characterize the crude oil.OFVF is needed in reservoir simulation and prediction of the oil reservoir performance.Existing correlations apply for specific oils and cannot be extended to other oil types.In addition,big errors were obtained when we applied existing correlations to predict the OFVF.There is a massive need to have a global OFVF correlation that can be used for different oils with less error.The objective of this paper is to develop a new empirical correlation for oil formation volume factor(OFVF)prediction using artificial intelligent techniques(AI)such as;artificial neural network(ANN),adaptive neuro-fuzzy inference system(ANFIS),and support vector machine(SVM).For the first time we changed the ANN model to a white box by extracting the weights and the biases from AI models and form a new empirical equation for OFVF prediction.In this paper we present a new empirical correlation extracted from ANN based on 760 experimental data points for different oils with different compositions.The results obtained showed that the ANN model yielded the highest correlation coefficient(0.997)and lowest average absolute error(less than 1%)for OFVF prediction as a function of the specific gravity of gas,the dissolved gas to oil ratio,the oil specific gravity,and the temperature of the reservoir compared with ANFIS and SVM.The developed empirical equation from the ANN model outperformed the previous empirical correlations and AI models for OFVF prediction.It can be used to predict the OFVF with a high accuracy. | Salaheldin Elkatatny Mohamed Mahmoud | 2018 | Petroleum2018，4，2： | 1 |
| 14 | Numerical modeling of three-dimensional flow field around circulars piers 显示文摘 | Salaheldin T M Imran J Chaudhry M H | 2004 | Journal of Hydraulic Engineering ASCE2004，130，2： | 1 |
| 15 | Numerical modeling of three-dimensional flow field around circular piers显示文摘 | Salaheldin Tarek M Imran Jasim Chaudhry M Hanif | 2004 | Journal of Hydraulic Engineering2004，130，2： | 1 |
| 16 | Numerical modeling of three-dimensional flow field around circular piers显示文摘 | Salaheldin T M Imran J Chaudhry M H | 2003 | Journal of Hydraulic Engineering2003，130，2： | 1 |
| 17 | Numerical modeling of three-dimensional flow field around circular piers显示文摘 | Salaheldin Tarek M Imran Jasim Hanif Chaudhry M | 2004 | Journal of Hydraulic Engineering2004，130，2： | 1 |
| 18 | Numerical modeling of three dimensional flow field around circular piers显示文摘 | Salaheldin T M Imran J Chaudhry M | 2004 | Journal of Hydrologic Engineering ASCE2004，130，2： | 1 |
| 19 | Impact of methane adsorption on tight rock permeability measurements using pulse-decay显示文摘The permeability of the rock is usually measured by the injection of gas using Darcy's flow model(pulse-decay).For oil formations,helium and nitrogen are the most common gases used to measure the permeability of the rock.However,recent approaches are based on the use of methane as it minimizes the properties difference between the testing fluid and reservoir fluid.This work focused on the latter approach to compute the correction of gas adsorption.The most widely used model is Cui et al.model that is based on Langmuir adsorption isotherm.In this work,we introduced a modified model that is based on Freundlich isotherm.This model also includes the correction for gas adsorption such as Freundlich isotherms proved to be more appropriate for the adsorption on intact reservoir rock.The model is based on gas and rock properties and reduced pressure and temperature were used to accommodate the gas compressibility.The modified model can also capture effective porosity of adsorption(a)that can correct the pulse-decay storage capacity parameters a and b.The permeability estimation of ultra-tight samples using the modified approach is enhanced owing to the correction in the storage volume and rock porosity.Including the proper adsorption isotherm enhanced the porosity estimation because Langmuir isotherm yielded 11%porosity and Freundlich isotherm yielded 12%porosity.Similar results were obtained in the permeability estimation,Langmuir isotherm resulted in a 1.5%error compared to zero error in the Freundlich isotherm estimation. | Mohamed Mahmoud Mohammed Eliebid Hasan YAl-Yousef Muhammad Shahzad Kamal Karem Al-Garadi Salaheldin Elkatatny | 2019 | Petroleum2019，5，4： | 0 |
| 20 | Framework for Better Understanding a Face-to-Face Videoconferencing Using H.263 Codec显示文摘Face-to-face Videoconferencing is a popular option for many large organizations because it minimizes the need for travel. Instead of continually paying for traveling expenses, a company can either pay to set up a high speed network which has many usages (including videoconferencing) or they can rent time on an existing network. Employees will also no longer be burdened with the need to travel. While face-to-face videoconferencing performance is heavily influenced by the underlying hardware and software, a good video compression scheme can help make the best use of videoconferencing and provide a high quality picture. H.263 standard is now widely used for real-time video communications over a range of networks including the Internet. A frame work for better understanding the H.263 including the implementation of encoder and decoder for face-to-face videoconferencing is presented. This software was written in C++ language, running under the Microsoft Windows operating system. | SALAHELDIN Ali Aboulkhsam | 2009 | Computer Aided Drafting,Design and Manufacturing2009，19，1： | 0 |
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