EFFECT OF THE INTERNAL FLUID FLOW IN THE GLASS FIBRE REINFORCED PLASTIC (GFRP) DYNAMIC

The petroleum produced by the offshore platforms is transported to processing plant through carbon steel pipelines. Usually, expectancy of maximum production capacity of pipelines is never meeting the prediction made in the early stage. Among the main reason for the declining of production capacity of pipelines over time is corrosion. This project aims to prove the dynamic of glass fibre reinforced plastic (GFRP) pipe dynamic is better than steel pipes dynamic in oil pipelines. Whilst it is more common to see in Oil and Gas industry to utilize steel pipes in their pipelines, GFRP pipes show a promising future to reduce corrosion problems. When it comes to pipeline, corrosion had caused severe to production capacity of a line to replace the corroded pipelines will cost a lot of money. The industries are desperate to alternative for the steel pipes. With that in mind, this Final Year Project will be focused more on study of the dynamic behavior of glass fibre reinforced plastic (GFRP) pipe fluid flow properties. A pipe modeling will be created to study the effect of the internal fluid flow in the GFRP pipe and compare it with the steel pipes dynamic. The model will be constructed using the ANSYS Workbench software and it will be analyzed using ANSYS FLUENT. The fluid flow model will be created using the k-epsilon model and all the calculation and iteration will be calculated using second order upwind. This project may lead to explore a better option than steel pipes to use in the oil and gas industry

Effect Of The Internal Fluid Flow In The Glass Fibre Reinforced Plastic (GFRP) Pipe Dynamic

The petroleum produced by the offshore platforms is transported to processing plant through carbon steel pipelines. Usually, expectancy of maximum production capacity of pipelines is never meeting the prediction made in the early stage. Among the main reason for the declining of production capacity of pipelines over time is corrosion. This project aims to prove the dynamic of glass fibre reinforced plastic ( GFRP) pipe dynamic is better than steel pipes dynamic in oil pipelines. Whilst it is more common to see in Oil and Gas industry to utilize steel pipes in their pipelines, GFRP pipes show a promising future to reduce corrosion problems. When it comes to pipeline, corrosion had caused severe to production capacity of a line to replace the corroded pipelines will cost a lot of money. The industries are desperate to alternative for the steel pipes. With that in mind, this Final Year Project will be focused more on study of the dynamic behavior of glass fibre reinforced plastic (GFRP) pipe fluid flow properties. A pipe modeling will be created to study the effect of the internal fluid flow in the GFRP pipe and compare it with the steel pipes dynamic. This project may lead to explore a better option than steel pipes to use in the oil and gas industry

EFFECT OF THE INTERNAL FLUID FLOW IN THE GLASS FIBRE REINFORCED PLASTIC (GFRP) DYNAMIC

The petroleum produced by the offshore platforms is transported to processing plant through carbon steel pipelines. Usually, expectancy of maximum production capacity of pipelines is never meeting the prediction made in the early stage. Among the main reason for the declining of production capacity of pipelines over time is corrosion. This project aims to prove the dynamic of glass fibre reinforced plastic (GFRP) pipe dynamic is better than steel pipes dynamic in oil pipelines. Whilst it is more common to see in Oil and Gas industry to utilize steel pipes in their pipelines, GFRP pipes show a promising future to reduce corrosion problems. When it comes to pipeline, corrosion had caused severe to production capacity of a line to replace the corroded pipelines will cost a lot of money. The industries are desperate to alternative for the steel pipes. With that in mind, this Final Year Project will be focused more on study of the dynamic behavior of glass fibre reinforced plastic (GFRP) pipe fluid flow properties. A pipe modeling will be created to study the effect of the internal fluid flow in the GFRP pipe and compare it with the steel pipes dynamic. The model will be constructed using the ANSYS Workbench software and it will be analyzed using ANSYS FLUENT. The fluid flow model will be created using the k-epsilon model and all the calculation and iteration will be calculated using second order upwind. This project may lead to explore a better option than steel pipes to use in the oil and gas industry

Effect Of The Internal Fluid Flow In The Glass Fibre Reinforced Plastic (GFRP) Pipe Dynamic

The petroleum produced by the offshore platforms is transported to processing plant through carbon steel pipelines. Usually, expectancy of maximum production capacity of pipelines is never meeting the prediction made in the early stage. Among the main reason for the declining of production capacity of pipelines over time is corrosion. This project aims to prove the dynamic of glass fibre reinforced plastic ( GFRP) pipe dynamic is better than steel pipes dynamic in oil pipelines. Whilst it is more common to see in Oil and Gas industry to utilize steel pipes in their pipelines, GFRP pipes show a promising future to reduce corrosion problems. When it comes to pipeline, corrosion had caused severe to production capacity of a line to replace the corroded pipelines will cost a lot of money. The industries are desperate to alternative for the steel pipes. With that in mind, this Final Year Project will be focused more on study of the dynamic behavior of glass fibre reinforced plastic (GFRP) pipe fluid flow properties. A pipe modeling will be created to study the effect of the internal fluid flow in the GFRP pipe and compare it with the steel pipes dynamic. This project may lead to explore a better option than steel pipes to use in the oil and gas industry

Investigation on water quality for farmed aquatic species by IoT monitoring system

The objective of this research is to optimize fish growth in super-intensive aquaculture systems by addressing water quality issues. Changes in water parameters can significantly impact fish growth and even lead to mortality. To overcome this problem, real-time monitoring of water quality parameters is crucial, and the data should be automatically transmitted to the entrepreneur through the Internet of Things (IoT). This allows the owner to access real-time data remotely, eliminating the need to be physically present at the fish cage. By monitoring the data on a smartphone, the owner can efficiently manage the water quality. In this study, a water quality monitoring system utilizing temperature, pH, and ESP32, with the parameter values displayed on the Blynk platform was developed. The system successfully measures real-time water conditions and transmits the data to the Blynk application. The test results demonstrate the system's capability to receive and send data, but further analysis is needed to evaluate the accuracy and reliability of the measurements and identify any noteworthy findings