INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND MATHEMATICAL THEORY (IJCSMT )

E-ISSN 2545-5699
P-ISSN 2695-1924
VOL. 9 NO. 1 2023
DOI: https://doi.org/10.56201/ijcsmt.v9.no1.2023.pg13.29


Simulation of Oil Production with Simultaneous Inclusion of a Hydrocarbon Constituent Driven Random Environmental Perturbation Value of 0.08

Peters Nwagor and Temple Daniel Offor


Abstract


A numerical simulation of two non?linear first order differential equations that described crude oil production with simultaneous inclusion of a hydrocarbon constituent driven random environmental perturbation value of 0.08 was investigated. The study adopted a twine MATLAB solution program to simulate the effect of varying a model parameter value on the quantity of crude oil that is produced in the two connecting crude oil wells. The inclusion of a hydrocarbon constituent driven random environmental perturbation value of 0.08 on the growth rate of the quantity of crude oil produced into the two interacting crude oil wells indicate a dominantly associated increase in the quantity of crude oil that is produced in the unit of millions of barrels as the length of production in the unit of days changes for every thirty (30) days scenario. This result implies that a strong or higher hydrocarbon constituent could lead to a relatively bigger volume of crude oil that is produced for the purpose of enhanced and better revenue derivation from the oil sector. Agencies of the Government that is responsible for the management of oil production in Nigeria should therefore adopt measures that will improve the quality of the hydrocarbon constituent for the purpose of sustainability of the nation’s treasury for national growth and development.


keywords:

Numerical Simulation, crude oil Production, Hydrocarbon Constituent, Random Environmental Perturbation


References:


Al-jarri A. S. And Startzman R. A. (1997): Analysis of world crude oil production trends.
Journal of society of petroleum engineers https//.www.onepetro.org.

Berna H, Tayfun B. and Serhat A. (2008): Experimental and Numerical simulation of oil
recovery from oil Shales by electrical heating. American Chemical Society vol. 22 6,
3976?3985 https//doi.org.

Cai, W, Xie Z; and Wang W. (2000) Experimental study of wet combustion Spec. Oil and gas
reservoir (google scholar)
Ekaka?a, E. N. and Uka, U.A. (2012) Numerical Simulation of Interacting fish population with
crowding effect. Science Africana, ajol.info scholar google.com

Finol A. And Farouq Ali S. M. (1995): Numerical Simulation of oil production with simulations
ground subsidence, society of petroleum engineers journal vo. 15 issue 05
https//www.onepetro.org

Hafner, M. Tagliapieta, S. and De Strasser, L. (2018): The role of hydrocarbon in African’s
energy mi link. Springer com


DOWNLOAD PDF

Back