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Experimental investigation of the effect of temperature on two-phase oil-water relative permeability. [Dataset] (2021)
Dataset
BALOGUN, Y., IYI, D., OYENEYIN, B., FAISAL, N., OLUYEMI, G. and MAHON, R. 2021. Experimental investigation of the effect of injection temperature on two-phase oil-water relative permeability. [Dataset]. Journal of petroleum science and engineering [online], 203, article 108645. Available from: https://www.sciencedirect.com/science/article/pii/S0920410521003053#appsec1

This work investigates the effect of temperature on oil-water relative permeability using well-sorted unconsolidated silica sandpacks, by adopting the unsteady-state relative permeability method, and by applying numerical history matching technique.... Read More about Experimental investigation of the effect of temperature on two-phase oil-water relative permeability. [Dataset].

Numerical and experimental study of the impact of temperature on relative permeability in an oil and water system. (2021)
Thesis
BALOGUN, Y. 2021. Numerical and experimental study of the impact of temperature on relative permeability in an oil and water system. Robert Gordon University, PhD thesis. Hosted on OpenAIR [online]. Available from: https://doi.org/10.48526/rgu-wt-1357866

Relative permeability is affected by several flow parameters, predominantly operating temperature and fluid viscosity. Fluid viscosity changes with temperature, which correspondingly affects the relative permeability. Temperature is believed to have... Read More about Numerical and experimental study of the impact of temperature on relative permeability in an oil and water system..

Uncertainty reduction in reservoir parameters prediction from multiscale data using machine learning in deep offshore reservoirs. (2020)
Thesis
ARIGBE, O.D. 2020. Uncertainty reduction in reservoir parameters prediction from multiscale data using machine learning in deep offshore reservoirs. Robert Gordon University [online], PhD thesis. Available from: https://openair.rgu.ac.uk

Developing a complete characterization of reservoir properties involved in subsurface multiphase flow is a very challenging task. In most cases, these properties - such as porosity, water saturation, permeability (and their variants), pressure, wetta... Read More about Uncertainty reduction in reservoir parameters prediction from multiscale data using machine learning in deep offshore reservoirs..

Accurate AVO modelling and reservoir characterisation of the upper cretaceous deepwater reservoirs in the Vøring Basin. (2017)
Thesis
CHALMERS, B. 2017. Accurate AVO modelling and reservoir characterisation of the upper cretaceous deepwater reservoirs in the Vøring Basin. Robert Gordon University, MPhil thesis.

In an exploration setting, reservoir characterisation is concerned with the identification of fluids and lithology. Seismic interpreters seek to distinguish hydrocarbons from brine and sand from shale. Amplitude vs offset (AVO) is a fundamental techn... Read More about Accurate AVO modelling and reservoir characterisation of the upper cretaceous deepwater reservoirs in the Vøring Basin..

Gas-condensate flow modelling for shale gas reservoirs. (2016)
Thesis
LABED, I. 2016. Gas-condensate flow modelling for shale gas reservoirs. Robert Gordon University, PhD thesis.

In the last decade, shale reservoirs emerged as one of the fast growing hydrocarbon resources in the world unlocking vast reserves and reshaping the landscape of the oil and gas global market. Gas-condensate reservoirs represent an important part of... Read More about Gas-condensate flow modelling for shale gas reservoirs..

Design and real-time process optimisation of steam assisted gravity drainage for improved heavy oil recovery. (2013)
Thesis
BALI, A.B. 2013. Design and real-time process optimisation of steam assisted gravity drainage for improved heavy oil recovery. Robert Gordon University, PhD thesis.

Introduction to the Canadian Oil Sands, Canadas Oil Sand Industry: An Overview, Heavy Oil Technologies, and so many other topics about heavy oil have become the hotcakes in the oil industry. A number of new projects are in Execute phase for the devel... Read More about Design and real-time process optimisation of steam assisted gravity drainage for improved heavy oil recovery..

Modeling multiphase solid transport velocity in long subsea tiebacks: numerical and experimental methods. (2013)
Thesis
BELLO, K.O. 2013. Modeling multiphase solid transport velocity in long subsea tiebacks: numerical and experimental methods. Robert Gordon University, PhD thesis.

Transportation of unprocessed multiphase reservoir fluids from deep/ultra-deep offshore through a long subsea tieback/pipeline is inevitable. This form of transportation is complex and requires accurate knowledge of critical transport velocity, flow... Read More about Modeling multiphase solid transport velocity in long subsea tiebacks: numerical and experimental methods..

Modelling of fines migration mechanisms in high permeability sands: impact on reservoir performance. (2009)
Thesis
AL-MUFARJI, S. 2009. Modelling of fines migration mechanisms in high permeability sands: impact on reservoir performance. Robert Gordon University, MPhil thesis.

Today the oil and gas industry suffers significant production losses due to fines migrations in high permeability sandstone formations or sand packs. During drilling, production or injection, fines migration continues to cause formation impairment re... Read More about Modelling of fines migration mechanisms in high permeability sands: impact on reservoir performance..

Intelligent grain size profiling using neural network and application to sanding potential prediction in real time. (2007)
Thesis
OLUYEMI, G.F. 2007. Intelligent grain size profiling using neural network and application to sanding potential prediction in real time. Robert Gordon University, PhD thesis.

Production of hydrocarbon from both consolidated and unconsolidated clastic reservoir rocks poses a risk of sand production especially if a well articulated programme of sand management strategy is not put in place to deal with the problem at the ons... Read More about Intelligent grain size profiling using neural network and application to sanding potential prediction in real time..