#gas engineering

In this research work, Monte Carlo Simulation and degradation models were used to predict the corrosion rate and reliability of crude oil pipelines. Discrete random numbers simulated from Inline Inspection Data were used to predict the corrosion rate using Linear and Power Law Model. The mean time for failure MTFF was estimated with the degradation models. The result of the study shows that the degradation models and Monte Carlo simulation can predict the corrosion rate of the pipelines to an accuracy of between 83.05-98.33 and 84.24- 97.94 respectively. From the plot the lowest degradation recorded was 1.67 Power law and highest 16.95 Power Law , for Linear Model Law, the lowest value recorded was 2.11 while the highest is 15.23 . In comparison to the value obtained from Monte Carlo Simulation 2.01 lowest and 15.76 highest , all the values fall between 1.67 to16.95 . Thus, RMSE of between 1.67 and 16.95 was recorded for the degradation models. Therefore, the statistical models give the expected number of failures. The results of the statistical models can be used in reliability analysis, risk analysis, and optimum maintenance decisions. 

In this research work, the effect of pH and temperature on the biogas yield of co-digestion of Pig manure and water hyacinth were investigated experimentally in laboratory scale anaerobic bioreactors. The co-digestion was run for a Hydraulic Retention Time thirty six days. The volumetric yield of biogas was noted once there is biogas build up at regular intervals using water displacement method. A total of ten evacuations were made and the data obtained was used to evaluate the effect of the aforementioned anaerobic digestion parameters. The experimental results revealed that a neutral pH value of 7 yielded optimum biogas yields compared to a pH value above and below 7. Moreover, from all the experimental mesophilic temperature used in this research work, an optimum mesophilic temperature of 37 oC favoured the optimum biogas yield.

The main aim of this project is to monitor forliquefied petroleum gas (LPG) leakage to avoid fireaccidents providing house safety feature where securityhas been an important issue. The most commonproblem experienced in our day- to- day lives that isregarding GAS leakage system. When it comes it tosafety of the surrounding as well as gas container wehave an MQ-5(gas sensor), which will detect the gasesby propane, butane, carbon monoxide ,smoke ,alcoholetc. The system detects the leakage of LPG using gassensor and When the system detects the LPGconcentration in the air exceeds the certain level then itimmediately takes action by automatically. Thus herewe are using the gas sensor which placed in the leakpoints, which senses the concentration value of gasessuch as propane ,butane ,smoke ,alcohol , carbon monooxideetc and when the concentration value exceeds thenormal value the leakage of gas is detected , and alertsystem used by buzzer and the automatically open thewindows prevent fire accidents. The gas sensor hasbeen used which has high sensitivity to gases likepropane and butane. When the concentration of LPG inair exceeds a certain level, the sensor senses the gasleakage and the output of the sensor goes LOW. Thedetection is done by the gas sensor, through themicro controller the LED and buzzer are turned ONsimultaneously. Using relay DC motor is automaticallyopen the windows.