Affiliation:
1. Emerald Energy Institute, University of Port Harcourt
2. UCC Institute for Oil and Gas Studies, Cape Coast, Ghana
Abstract
Abstract
This paper reviews oil (and gas) supply forecasting models and subsequently espouses atypical modeling approaches for the optimal allocation of crude oil production. This paper becomes imperative within the context of the global energy transition and the future of the oil and gas industry in Africa in general and Nigeria, in particular. A categorization framework has been utilized to classify oil supply forecasting models based on regional focus, modelling techniques, and outcomes. The log – log functional form is adopted in this paper to forecast oil production in Nigeria and subsequently optimize its allocation. A review of literature indicates that oil (and gas) supply forecasting has a long history and in recent times, there has been the tendency to rely on models that integrate engineering with economics. The models used to project oil and gas production to meet climate goals have now inputted environmental targets. This review of oil production forecast models is carried out against the backdrop of the need to optimally allocate Nigeria's future oil production to diverse uses. This will have impact on expected oil export earnings, domestic fuels’ imports, and the potential for petroleum products’ export earnings.
Reference28 articles.
1. Optimal Structure of the Nigerian Energy Supply Mix;Adegbulugbe;The Energy Journal,1989
2. Al-Bisharah, M., Al-FattahS., Nashawi, I. S., MalallahA., 2009, Forecasting OPEC Crude Oil Supply (SPE 120350), presented at the 2009 SPE Middle East Oil & Gas Show and Conference held in the Bahrain International Exhibition Centre, Kingdom of Bahrain, 15–18 March 2009
3. Al-Fattah, S., Startzman, R. A., 2001, Predicting Natural Gas Production Using Artificial Neural Network. paper prepared for presentation at the 2001 SPE Hydrocarbon Economics and Evaluation Symposium, SPE 68593. At Dallas, TX, 2-3 April. Assessed 6th February 2022 fromhttps://www.researchgate.net/publication/261697475_Predicting_Natural_Gas_Production_Using_Artificial_Neural_Network
4. Beck, C., Rashidbeigi, S., Roelofsen, O., and Speelman, E., 2020, The future is now: How oil and gas companies can decarbonize, published by McKinsey Oil and Gas Practice. Assessed 24th January 2022 fromhttps://www.mckinsey.com/industries/oil-and-gas/our-insights/the-future-is-now-how-oil-and-gas-companies-can-decarbonize#
5. An Economy Wide Energy Policy Model for Egypt;Blitzer,1989