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ISSN:2394-3661 | Crossref DOI | SJIF: 5.138 | PIF: 3.854

International Journal of Engineering and Applied Sciences

(An ISO 9001:2008 Certified Online and Print Journal)

Modelling Crude Oil Production In Nigerian National Petroleum Corporation

( Volume 7 issue 3,March 2020 ) OPEN ACCESS
Author(s):

Adewoye Kunle Bayo, Salau Ganiyat Monishola, Olatinwo Motolani

Keywords:

Autocorrelation function, Autoregressive models, Partial Autocorrelation function and forecasting

Abstract:

In the last few decades, crude oil (petroleum) has claimed the topmost position in Nigerian export list, constituting a very fundamental change in the structure of Nigerian international trade. This paper work is focus on time series analysis on monthly crude oil production, the data used is secondary extracted from Nigerian National Petroleum Corporation (NNPC) record online and the statistical tools used for this research work are time plot to determine level of fluctuation of data, inferential statistics employed were Autocorrelation function, Autoregressive models, Partial Autocorrelation function and forecasting using autoregressive model. From the analysis it was discovered that fluctuation in production are mostly apparent in 2013 and 2015. This might be due to lack of adequate supply of stock to the depot and the forecasted values for 2016 quarters were increasing and decreasing in the same order.

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