Oil Production Forecasting Models and Oil End-Use Optimization Framework under Global Energy Transition Dynamics

Kaase Gbakon, J. Ajienka, Joshua Gogo, O. Iledare
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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.
全球能源转型动态下的石油产量预测模型与最终用途优化框架
本文回顾了石油(和天然气)供应预测模型,随后采用非典型建模方法来优化原油产量分配。在全球能源转型的背景下,这篇论文变得势在必行,特别是在非洲和尼日利亚的石油和天然气行业的未来。基于区域重点、建模技术和结果,采用了一个分类框架对石油供应预测模型进行分类。本文采用对数-对数函数形式对尼日利亚的石油产量进行预测,并对其进行优化配置。对文献的回顾表明,石油(和天然气)供应预测有着悠久的历史,近年来,人们倾向于依赖将工程与经济学相结合的模型。用于预测石油和天然气产量以实现气候目标的模型现在已经输入了环境目标。对石油产量预测模型的回顾是在尼日利亚需要将未来的石油产量优化分配到不同用途的背景下进行的。这将对预期石油出口收入、国内燃料进口以及石油产品出口收入的潜力产生影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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