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3d Reservoir Modelling For Sidi Abdelrahman Oil Field, Alamein Basin, Western Desert, Egypt, Ahmed M. Shaalan, Mahmoud Y. Zein El-Din, Tharwat H. Abdel Hafeez
3d Reservoir Modelling For Sidi Abdelrahman Oil Field, Alamein Basin, Western Desert, Egypt, Ahmed M. Shaalan, Mahmoud Y. Zein El-Din, Tharwat H. Abdel Hafeez
Al-Azhar Bulletin of Science
Sidi Abdel-Rahman oil field is represented in this study by four wells, two of these wells are oil-productive wells (Sidi Rahman-1 and Sidi Rahman-2) while the other two wells are considered dry wells (Sidi Rahman-3 and Sidi Rahman-4). The main object of the study is to illustrate the differentiation of oil potentiality between the four wells. The main reservoirs lie in Bahariya and Kharita Formations. The workflow started by picking selected horizons from the seismic data and detecting the geological structures. Two sets of normal faults represented in this area the first is (F1, F3 and F4) which have downthrown …
Dp-Smote: Integrating Differential Privacy And Oversampling Technique To Preserve Privacy In Smart Homes, Amr Tarek Elsayed, Almohammady Sobhi Alsharkawy, Mohamed Sayed Farag, Shaban Ebrahim Abu Yusuf
Dp-Smote: Integrating Differential Privacy And Oversampling Technique To Preserve Privacy In Smart Homes, Amr Tarek Elsayed, Almohammady Sobhi Alsharkawy, Mohamed Sayed Farag, Shaban Ebrahim Abu Yusuf
Al-Azhar Bulletin of Science
Smart homes represent intelligent environments where interconnected devices gather information, enhancing users’ living experiences by ensuring comfort, safety, and efficient energy management. To enhance the quality of life, companies in the smart device industry collect user data, including activities, preferences, and power consumption. However, sharing such data necessitates privacy-preserving practices. This paper introduces a robust method for secure sharing of data to service providers, grounded in differential privacy (DP). This empowers smart home residents to contribute usage statistics while safeguarding their privacy. The approach incorporates the Synthetic Minority Oversampling technique (SMOTe) and seamlessly integrates Gaussian noise to generate synthetic data, …