Prediction of Oil Depletion in Ghana Based on Hubbert’s Model

This study seeks to fulfil four specific tasks: to predict the year of peak oil production in Ghana, to estimate the quantity that will be produced at this peak point, to investigate the year of total oil depletion and last but not the least is to assess the total recoverable oil resources at the po...

Full description

Bibliographic Details
Main Authors: Dennis Nchor, Václav Klepáč
Format: Article
Language:English
Published: Mendel University Press 2016-01-01
Series:Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis
Subjects:
Online Access:https://acta.mendelu.cz/64/1/0325/
id doaj-2f2da0eca67c446e9d356c9ae4fa9433
record_format Article
spelling doaj-2f2da0eca67c446e9d356c9ae4fa94332020-11-24T23:47:13ZengMendel University PressActa Universitatis Agriculturae et Silviculturae Mendelianae Brunensis1211-85162464-83102016-01-0164132533110.11118/actaun201664010325Prediction of Oil Depletion in Ghana Based on Hubbert’s ModelDennis Nchor0Václav Klepáč1Department of Statistics and Operations Analysis, Mendel University in Brno, Zemědělská1, 613 00 Brno, Czech RepublicDepartment of Statistics and Operations Analysis, Mendel University in Brno, Zemědělská1, 613 00 Brno, Czech RepublicThis study seeks to fulfil four specific tasks: to predict the year of peak oil production in Ghana, to estimate the quantity that will be produced at this peak point, to investigate the year of total oil depletion and last but not the least is to assess the total recoverable oil resources at the point of depletion. The study applied Hubbert’s model of oil production and depletion. There was however modification to the approach in that Nonlinear Least Squares were used to estimate the logistic growth parameter instead of linear regression techniques. The modification was due to the fact that the historical data of oil production in Ghana did not follow a linear trend. The study acknowledges the influence of technology, economic, and political factors in the shorter time scales but hypothesizes that the amount of recoverable oil resources dominates all other factors in the long run. Hence the focus was placed on physical or geological constraints. The study results show that peak production in Ghana will occur in 2022. A maximum of about 100 million barrels will be produced per year though currently the annual production is about 40 million barrels. The predicted logistic curve also shows that total oil will be depleted by 2060. Ghana has total recoverable oil resources of about 1.8 billion. The data for the study was obtained from the U.S Energy Information Administration covers the period of production from 1992 to 2014.https://acta.mendelu.cz/64/1/0325/Hubbert’s curveHubbert’s linearizationoil productionoil depletionpeak productionGhana
collection DOAJ
language English
format Article
sources DOAJ
author Dennis Nchor
Václav Klepáč
spellingShingle Dennis Nchor
Václav Klepáč
Prediction of Oil Depletion in Ghana Based on Hubbert’s Model
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis
Hubbert’s curve
Hubbert’s linearization
oil production
oil depletion
peak production
Ghana
author_facet Dennis Nchor
Václav Klepáč
author_sort Dennis Nchor
title Prediction of Oil Depletion in Ghana Based on Hubbert’s Model
title_short Prediction of Oil Depletion in Ghana Based on Hubbert’s Model
title_full Prediction of Oil Depletion in Ghana Based on Hubbert’s Model
title_fullStr Prediction of Oil Depletion in Ghana Based on Hubbert’s Model
title_full_unstemmed Prediction of Oil Depletion in Ghana Based on Hubbert’s Model
title_sort prediction of oil depletion in ghana based on hubbert’s model
publisher Mendel University Press
series Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis
issn 1211-8516
2464-8310
publishDate 2016-01-01
description This study seeks to fulfil four specific tasks: to predict the year of peak oil production in Ghana, to estimate the quantity that will be produced at this peak point, to investigate the year of total oil depletion and last but not the least is to assess the total recoverable oil resources at the point of depletion. The study applied Hubbert’s model of oil production and depletion. There was however modification to the approach in that Nonlinear Least Squares were used to estimate the logistic growth parameter instead of linear regression techniques. The modification was due to the fact that the historical data of oil production in Ghana did not follow a linear trend. The study acknowledges the influence of technology, economic, and political factors in the shorter time scales but hypothesizes that the amount of recoverable oil resources dominates all other factors in the long run. Hence the focus was placed on physical or geological constraints. The study results show that peak production in Ghana will occur in 2022. A maximum of about 100 million barrels will be produced per year though currently the annual production is about 40 million barrels. The predicted logistic curve also shows that total oil will be depleted by 2060. Ghana has total recoverable oil resources of about 1.8 billion. The data for the study was obtained from the U.S Energy Information Administration covers the period of production from 1992 to 2014.
topic Hubbert’s curve
Hubbert’s linearization
oil production
oil depletion
peak production
Ghana
url https://acta.mendelu.cz/64/1/0325/
work_keys_str_mv AT dennisnchor predictionofoildepletioninghanabasedonhubbertsmodel
AT vaclavklepac predictionofoildepletioninghanabasedonhubbertsmodel
_version_ 1725490969387728896