Publications by authors named "Khaled Abdelgawad"
Article Synopsis
- The study focuses on how surfactants can improve oil recovery by reducing interfacial tension between crude oil and injected water, particularly under high-pressure and high-temperature (HPHT) conditions.
- It found that as pressure increases and gas/oil ratios (GOR) rise, water solubilization in microemulsions increases significantly, while oil solubilization decreases.
- The research established optimal salinity levels for different GORs, demonstrating that higher GOR values lead to lower optimal salinity and reduced microemulsion generation, which is crucial for enhancing oil recovery practices in the petroleum industry.
Article Synopsis
- The study evaluates the effectiveness of ultrasonic vibration-assisted milling (USVAM) on machining 7075 aluminium alloy and Ti-6Al-4V titanium alloy, highlighting their differing mechanical properties.
- It explores the design of a specific ultrasonic setup that operates at 28 kHz frequency and 8 µm amplitude, comparing the performance between conventional milling and USVAM methods through various experiments.
- Findings show that USVAM reduces cutting force by up to 30% and improves surface roughness approximately four times compared to conventional milling, with an artificial neural network model demonstrating high accuracy in predicting these outcomes.
High-bentonite mud (HBM) is a water-based drilling fluid characterized by its remarkable improvement in cutting removal and hole cleaning efficiency. Periodic monitoring of the rheological properties of HBM is mandatory for optimizing the drilling operation. The objective of this study is to develop new sets of correlations using artificial neural network (ANN) to predict the rheological parameters of HBM while drilling using the frequent measurements, every 15 to 20 min, of mud density (MD) and Marsh funnel viscosity (FV).
View Article and Find Full Text PDFThe drilling rate of penetration (ROP) is defined as the speed of drilling through rock under the bit. ROP is affected by different interconnected factors, which makes it very difficult to infer the mutual effect of each individual parameter. A robust ROP is required to understand the complexity of the drilling process.
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