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S. S. Ikiensikimama

Publications (4)

Predictive Models for Condensate Gas Ratio (CGR) – Part 1: For Western Niger Delta Region

S. S. Ikiensikimama, I. I. Azubuike & J. A. Ajienka · Current Journal of Applied Science and Technology · 2013

Condensate-to-gas ratio (CGR) plays a significant role in sales potential assessment of both gas and liquid, design of the required surface processing facilities, reservoir characterization and modeling in gas-condensate reservoirs. This work aim at the use of regression method t...

Open access Research Article 10.9734/BJAST/2014/4586

Synergistic Study between Gum Arabic and Carboxymethyl Cellulose: Application in Polymer Flooding

I. Eiroboyi, S. S. Ikiensikimama, B. A. Oriji & I. P. Okoye · Current Journal of Applied Science and Technology · 2019

The oil industry is experiencing a paradigm shift where the use of green chemicals is being encouraged in order to address environmental issues associated with the use of synthetic chemicals and also because of the fact that most of these synthetic polymers like hydrolysed polyac...

Open access Research Article 10.9734/cjast/2019/v36i430243

Fuzzy Sequential Forward Search for Oil Formation Volume Factor Predictive Tool Factor for Niger Delta Crude Oil

K. K. Salam, D. O. Araromi, A. O. Arinkoola & S. S. Ikiensikimama · Current Journal of Applied Science and Technology · 2013

Accurate prediction of fluid properties is essentials for all reservoir engineering calculations such as estimation of reserves, well testing analysis and in numerical reservoir simulation. Oil formation volume factor is one of the properties that can either be gotten from empiri...

Open access Research Article 10.9734/BJAST/2014/2280