Journal of
Petroleum and Gas Engineering

  • Abbreviation: J. Petroleum Gas Eng.
  • Language: English
  • ISSN: 2141-2677
  • DOI: 10.5897/JPGE
  • Start Year: 2010
  • Published Articles: 121

Full Length Research Paper

Software approach on crude oil yields prediction: A case study of Tema Oil Refinery

Solomon Adjei Marfo
  • Solomon Adjei Marfo
  • Department of Petroleum Engineering, Faculty of Mineral Resources Technology, University of Mines and Technology, Tarkwa, Ghana.
  • Google Scholar
Prince Opoku Appau
  • Prince Opoku Appau
  • Research Institute of Enhanced Oil Recovery, China University of Petroleum, Beijing 102249, P. R. China.
  • Google Scholar
Daniel Tettegah
  • Daniel Tettegah
  • Environmental Protection Agency, Tarkwa, Ghana.
  • Google Scholar

  •  Received: 29 March 2019
  •  Accepted: 26 June 2019
  •  Published: 31 October 2019


Yield prediction is an integral part of every refinery process due to the intricacy of the process and composition of crude oil. Inability to sufficiently predict the yields before refinery process creates challenges such as inadequacy in planning the operating conditions to meet product target, product optimisation failure and inability to meet product market specification. Predicting yields using a yield pattern model practised by the Tema Oil Refinery is economical; however, it is time consuming and tedious. This paper focused on using a Visual Basic 6.0 programming language to predict product yields that is based on kinetic reaction models. A user friendly and efficient software application has been developed to predict product yields within a short time. This software is compatible with all windows platforms and satisfactorily predicts crude oil yields with a certainty range of 94.0 to 99.0%.

Key words: Crude oil, crude oil yield, yield correlations, visual basic 6.0.