Universiti Teknologi PETRONAS
Petroleum Engineering
Kinetic hydrate inhibitors (KHIs) are employed to mitigate gas hydrate formation in pipelines at low concentrations. Ionic liquids and conventional available KHIs (polymers) perform poorly at high subcooling and extended shut-in... more
The effect of salinity towards methane hydrate formation and induction time was modelled using CMG STARS. Salinity greatly influenced gas hydrate formation and dissociation due to its ability to act as an inhibitor by delaying the... more
In an offshore system, hydrocarbon fluids are produced at deeper depths in the oceans, and extended pipelines delivering fluids over long distances are common. Subsequently, these practices increase the tendency of unprocessed... more
The influence of water to cement ratio and degree of hydration to the dispersion characteristic of oilwell cement slurries during 24 hrs of hydration is evaluated and expressed in the form of magnitude and frequency effect at above cutoff... more
The influence of water to cement ratio and degree of hydration to the dispersion characteristic of oilwell cement slurries during 24 hrs of hydration is evaluated and expressed in the form of magnitude and frequency effect at above cutoff... more
First of all, I would like to thank GOD for His Blessing and giving me the strength to successfully complete my Final Year Project with ease for this whole semester at Universiti Teknologi PETRONAS (UTP). There were many individuals and... more
This project investigates characteristics of vibration of a drillstring under the action of weight on bit and drillstring rotation. The dominant cause of drillstring and bottom hole assembly's failures, shocks and severe damages to... more
This project investigates lateral vibration of a drillstring under the action of weight on bit and drillstring rotation. The dominant cause of drillstring and bottom hole assembly’s failures, shocks and severe damages to borehole wall is... more
In this work, two different artificial neural network (ANN) models — back-propagation neural network (BPN) and radial basis function neural network (RBFN) — are presented for the prediction of surface roughness in die sinking electrical... more
Abstract: In this analysis, the optimisation of multiple responses of Electric discharge machining (EDM) using Fuzzy logic coupled with Taguchi method is attempted. The work piece material was AISI P20 tool steel and a cylindrical copper... more
Electric discharge machining (EDM) has verified to be an alternate approach for machining complex and critical shapes on workpiece. In this work described EDM of AISI P20 tool steel in which best process environment (optimal) has been... more