Proceedings of First Conference for Engineering Sciences and Technology: Vol. 1最新文献

Long Term Peak Load Forecasting For The Libyan Network 利比亚电网的长期峰值负荷预测

Proceedings of First Conference for Engineering Sciences and Technology: Vol. 1 Pub Date : 2018-11-30 DOI: 10.21467/PROCEEDINGS.2.23

Mahmoud Y. Khamaira, A. Krzma, A. M. Alnass

引用次数: 5

Verification Of The Reserve Of Al-Hamada Oil Field V-NC6 Area By Application Of Well Logs 利用测井资料验证Al-Hamada油田V-NC6区储量

Proceedings of First Conference for Engineering Sciences and Technology: Vol. 1 Pub Date : 2018-11-30 DOI: 10.21467/PROCEEDINGS.2.33

Tariq Basher, Essa M Tabar, A. Omran

引用次数: 0

Bandwidth Optimization Through Hybrid Codecs G.711 And G.729 For Voip Ethernet, Fr And Mp Networks 通过混合编解码器G.711和G.729优化Voip以太网、Fr和Mp网络的带宽

Proceedings of First Conference for Engineering Sciences and Technology: Vol. 1 Pub Date : 2018-11-30 DOI: 10.21467/proceedings.2.14

Mohamed Alahemar, Abdullah Masrub, AbdulSalam Addeeb

引用次数: 0

Optimal Power Loss Minimization Using Optimal Size And ‎Location Of Shunt ‎Capacitors, And Dg 最佳功率损耗最小化使用最佳尺寸和位置的分流电容器，和Dg

Proceedings of First Conference for Engineering Sciences and Technology: Vol. 1 Pub Date : 2018-11-30 DOI: 10.21467/PROCEEDINGS.2.20

Hesain Milad Alfrd

引用次数: 1

Employing Various Data Mining Techniques To Forecast The Success Rate Of Information Technology Education Students 利用各种数据挖掘技术预测信息技术教育学生的成功率

Proceedings of First Conference for Engineering Sciences and Technology: Vol. 1 Pub Date : 2018-11-30 DOI: 10.21467/PROCEEDINGS.2.2

M. M. Elssaedi

{"title":"Employing Various Data Mining Techniques To Forecast The Success Rate Of Information Technology Education Students","authors":"M. M. Elssaedi","doi":"10.21467/PROCEEDINGS.2.2","DOIUrl":"https://doi.org/10.21467/PROCEEDINGS.2.2","url":null,"abstract":"This study was designed to investigate the factors that affect the success rate of Information Technology Education students which composed of Computer Science and Information Technology. Several variables such as years of gr aduation, entrance exams, and other variables have been used for the investigation. Several data mining techniques such as linear regression, neural network, and decision tree have employed to determine the valid predictors and acceptability of the data mining technique. The results show that the best predictor taken from the entrance exams is non-verbal ability while the best forecasting using data mining is decision tree analysis with 99.19 percent accuracy. If the results taken from the system will be incorporated in entrance examinations results, admission office will be able to identify students that can graduate on-time and whose students should be taken as probationary in the program. It can also identify students not to be taken in the program to avoid waste of time in studying at the University. Keyword— Neural network, linear regression, decision tree, forecasting, data mining.","PeriodicalId":369478,"journal":{"name":"Proceedings of First Conference for Engineering Sciences and Technology: Vol. 1","volume":"623 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115107372","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Boilers Performance Evaluation Of Zuara Desalination Plant 祖阿拉海水淡化厂锅炉性能评价

Proceedings of First Conference for Engineering Sciences and Technology: Vol. 1 Pub Date : 2018-11-30 DOI: 10.21467/PROCEEDINGS.2.34

Ali K. Muftah, M. Abugderah, Hakem S Dakhel

引用次数: 0

Micro Gas Turbine Simulation And Control 微型燃气轮机仿真与控制

Proceedings of First Conference for Engineering Sciences and Technology: Vol. 1 Pub Date : 2018-11-30 DOI: 10.21467/PROCEEDINGS.2.19

Ibrahim Ahmed El-Sharif, M. El-Fandi

引用次数: 1

Fiber-Optic Temperature Sensor Design Adapted For Libyan Environment 适合利比亚环境的光纤温度传感器设计

Proceedings of First Conference for Engineering Sciences and Technology: Vol. 1 Pub Date : 2018-11-30 DOI: 10.21467/PROCEEDINGS.2.1

Mohammed Bin Saeed, M. Twati

引用次数: 0

Pressure Transient Analysis By Using Ms. Excel Sheet And Computer Programming 利用Excel表格和计算机编程进行压力瞬态分析

Proceedings of First Conference for Engineering Sciences and Technology: Vol. 1 Pub Date : 2018-11-30 DOI: 10.21467/PROCEEDINGS.2.36

Essa M Tabar, A. Nasar, Tariq Basher

引用次数: 0

Estimation Of Original Oil In Place For Belhedan Oil Field By Using Volumetric Method, Material Balance Equation Method, And Reservoir Simulation Method 用体积法、物质平衡方程法和油藏模拟法估算贝尔黑丹油田原始储量

Proceedings of First Conference for Engineering Sciences and Technology: Vol. 1 Pub Date : 2018-11-30 DOI: 10.21467/PROCEEDINGS.2.35

A. Nasar, Jibriel Abusaleem, Essa M Tabar

{"title":"Estimation Of Original Oil In Place For Belhedan Oil Field By Using Volumetric Method, Material Balance Equation Method, And Reservoir Simulation Method","authors":"A. Nasar, Jibriel Abusaleem, Essa M Tabar","doi":"10.21467/PROCEEDINGS.2.35","DOIUrl":"https://doi.org/10.21467/PROCEEDINGS.2.35","url":null,"abstract":"Knowing the amount of the hydrocarbon pore volume correctly is basically required to have properly design of oil and gas reservoirs. The accuracy in calculating of the hydrocarbon pore volume depends on the used method. Usually two conventional methods use to estimate the Original Oil In Place (OOIP) very quickly. These two methods are volumetric method and Material-Balance-Equation (MBE) method. However, there is another quick method that can be used to calculate (OOIP) which is reservoir simulation method. In this paper, three difference methods were used to calculate OOIP to provide Waha Oil Company with the calculated value. Moreover, each method required sort of data; the volumetric method depends on static data. However MBE and reservoir simulation method require dynamic data of the reservoir and the area around. Usually the driving mechanism is the key point when MBE and reservoir simulation are used. The drive mechanism in studied area (Belhedan oil field) is described from the field information as a strong water drive with small gas-cap. The given field data don’t have any information about the gas cap and the water dive. As a result, applying the MBE method to calculate OOIP for this case require some information about the gas cap and the aquifer. So the MBE gave a value of OOIP didn’t agree with the value of OOIP that obtained from the volumetric and reservoir simulation. Lack in the information makes MBE unusable method in this case. It has been trying to solve this problem by use some correlation in calculate some parameters and ignore others. However, doing all that, the result couldn’t reach any closed value that is calculated by volumetric and reservoir simulation which will explain. In the end of the paper, a prediction of well performance (well v-4) will be done from 1970 until 2020.","PeriodicalId":369478,"journal":{"name":"Proceedings of First Conference for Engineering Sciences and Technology: Vol. 1","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121917793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3