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System Dynamic Modelling for Forecasting Crude Oil Reserves and Production Capacity: A Case Study of Nigeria

机译:预测原油储量和生产能力的系统动态建模 - 以尼日利亚为例

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Nigeria's crude oil reserves and production capacity growth have stagnated over the past decade leading to the apprehension of whether the country is running out of oil or running into it.Existing methods of predicting production capacity and reserves growth to address this apprehension have series of gaps which this research addressed namely inconsistent and optimistic peak oil predictions from several authors,over curve-fitting,lack of details on investment underpinning the forecast,non-relationship with international crude oil price dynamics,omission of structures of the system being modeled and non-flexibility for scenario modeling.This research offers a long term perspective to modelling and forecasting using system dynamics approach with reserves replacement ratio(RRR)as proxy for status of oil and gas industry in Nigeria.The research successfully formulated mathematical models,built Nigeria Upstream Petroleum Integrated portfolio system dynamic model(NUPIM),history matched the reference modes from 1958 to 2015 with quality of the match assessed by visualization and statistical method of multiple regressions.Then,the research forecasted Nigeria oil production capacity and reserves from 2018 to 2035 and performed economic evaluation under various growth policy scenarios to provide a long term perspective of the industry.International crude oil price dynamics was endogenously modeled,history matched and predicted in order to capture its dynamic impact on reserves and production capacity growth.Under the present state called the passive growth policy scenario where a modicum of investments are being made in exploration and development,RRR is estimated at 60% as at 2016,which is evidence of the running out of oil phenomenon.A radical investment policy of injecting some 10 billion USD annually for five years into exploration and development produces RRR>100%,but this is short-lived.A more distributed fund injection of some 5 billion USD over 10 year period in the optimal investment policy scenario,stimulates growth and guarantees an RRR that is greater than 100% over a longer period of 8 years thereby reversing the crude oil running-out trend.The incremental economics under the present growth policy(passive state)returned negative NPV @12.5% of ca 3 billion USD suggesting the incremental investments in exploration/development to generate new reserves and capacity in the oil industry under the current passive growth policy are value destructive.Having closed identified gaps in knowledge from this research,it is recommended that government and investors should use the system dynamic approach,appropriate fund injection and exploration/development investment mix in addition to governance restructuring to reverse the apparent running-out-of-oil trend in order to drive desired growth in reserves and production capacity and to truly make the oil and gas industry the enabler of economic diversification in Nigeria in the long run.
机译:尼日利亚原油储备和生产能力增长在过去十年中停滞不前,这导致该国无论是石油还是跑进。预测生产能力和储量增长的方法,以解决这一逮捕的方法有一系列差距这项研究涉及来自曲线拟合,缺乏关于投资细节的若干作者的不一致和乐观的峰值预测,缺乏资金的内限,与国际原油价格动态,遗漏制定和不灵活的系统结构对于场景建模。这项研究提供了使用系统动力学方法的建模和预测,使用储备更换比(RRR)为尼日利亚石油和天然气行业现状的代理进行建模和预测。该研究成功制定了数学模型,建于尼日利亚上游石油集成投资组合系统动态模型(Nupim),历史匹配r从1958年到2015年的竞争模式,通过可视化和多元回归的统计方法评估的匹配质量。该研究预测2018年至2035年的尼日利亚石油生产能力和储备,并在各种增长政策情景下进行了经济评估,以提供长期行业的透视。国际原油价格动态是内源性建模的,历史匹配和预测,以捕捉其对储备和生产能力增长的动态影响。目前的国家称为被动增长政策情景,正在进行投资的型号在勘探和发展中,RRR估计为2016年的60%,这是石油现象耗尽的证据。将每年注入约10亿美元的激进投资政策勘探和开发的勘探和开发生产RRR> 100%,但这是短暂的。o更多分布式基金注入超过10亿美元超过10年的o PTIMAL投资政策情景,刺激增长并保证超过8年的额定值超过100%,从而扭转原油耗尽趋势。目前增长政策(被动状态)下的增量经济学返回负值NPV @ 12.5%的CA 3亿美元建议在目前被动增长政策下,在石油工业中产生新的储备和石油工业的能力的增量投资是价值破坏性的。在这项研究中,HAVING闭合了知识的知识差距,建议政府投资者应该使用系统动态方法,适当的基金注射和探索/开发投资组合除治疗重组外,扭转了明显的漏油趋势,以推动储量和生产能力的所需增长,真正制造石油和天然气产业长期尼日利亚经济多样化的推动者。

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