All Outputs (63)

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..

Investigation of CO2 sequestration during cold heavy oil production. (2013)
Journal Article
TCHAMBAK, E., OYENEYIN, B. and OLUYEMI, G. 2013. Investigation of CO2 sequestration during cold heavy oil production. Energy sources, part A: recovery, utilization and environmental effects [online], 35(12), pages 1174-1184. Available from: https://doi.org/10.1080/15567036.2010.520068

CO2 sequestration during cold heavy oil production using captured carbon dioxide was investigated using REVEAL of Petroleum Experts. The results indicated that the CO2 release was influenced by the production phases. The prediction showed high CO2 re... Read More about Investigation of CO2 sequestration during cold heavy oil production..

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..