British Journal of Research Open Access

  • ISSN: 2394-3718
  • Journal h-index: 10
  • Journal CiteScore: 0.40
  • Journal Impact Factor: 0.51
  • Average acceptance to publication time (5-7 days)
  • Average article processing time (30-45 days) Less than 5 volumes 30 days
    8 - 9 volumes 40 days
    10 and more volumes 45 days

Blessed Emenka

Department of Chemical/Petrochemical Engineering, Akwa Ibom State University (AKSU), Ikot Akpaden Mkpat Enin, Akwa Ibom, Nigeria

Publications
  • Research Article   
    Prediction of Crude Oil-Brine Interfacial Tension (IFT) Based on Surfactant Characteristics Using Artificial Intelligence
    Author(s): Okon John*, Tinuola Udoh and Blessed Emenka

    Reducing the Interfacial Tension (IFT) between crude oil and brine is one of surfactants' key functions in Enhanced Oil Recovery (EOR). Surfactants improve the mobility and displacement of oil by water or other fluids by lowering the IFT. This makes it easier to release and mobilize oil that has been trapped and would otherwise be challenging to recover. The conventional methods used to assess whether surfactants are effective in lowering the IFT of crude oil and brine in a reservoir entail a number of costly, time-consuming, and difficult processes. These include a thorough examination of the reservoir's characteristics, an analysis of the composition of the crude oil, a study of the surfactant's properties, and a battery of extensive laboratory tests to ascertain the surfactant's efficacy in lowering the IFT and enhancing oil recovery. These difficulties will be reso.. View More»

    Abstract PDF