Vše

Co hledáte?

Vše
Projekty
Výsledky výzkumu
Subjekty

Rychlé hledání

  • Projekty podpořené TA ČR
  • Významné projekty
  • Projekty s nejvyšší státní podporou
  • Aktuálně běžící projekty

Chytré vyhledávání

  • Takto najdu konkrétní +slovo
  • Takto z výsledků -slovo zcela vynechám
  • “Takto můžu najít celou frázi”

Prediction of oil depletion in Ghana based on Hubbert's model

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F16%3A43908354" target="_blank" >RIV/62156489:43110/16:43908354 - isvavai.cz</a>

  • Výsledek na webu

    <a href="http://acta.mendelu.cz/media/pdf/actaun_2016064010325.pdf" target="_blank" >http://acta.mendelu.cz/media/pdf/actaun_2016064010325.pdf</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.11118/actaun201664010325" target="_blank" >10.11118/actaun201664010325</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Prediction of oil depletion in Ghana based on Hubbert's model

  • Popis výsledku v původním jazyce

    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.

  • Název v anglickém jazyce

    Prediction of oil depletion in Ghana based on Hubbert's model

  • Popis výsledku anglicky

    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.

Klasifikace

  • Druh

    J<sub>x</sub> - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

  • CEP obor

    BB - Aplikovaná statistika, operační výzkum

  • OECD FORD obor

Návaznosti výsledku

  • Projekt

  • Návaznosti

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Ostatní

  • Rok uplatnění

    2016

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis

  • ISSN

    1211-8516

  • e-ISSN

  • Svazek periodika

    64

  • Číslo periodika v rámci svazku

    1

  • Stát vydavatele periodika

    CZ - Česká republika

  • Počet stran výsledku

    7

  • Strana od-do

    325-331

  • Kód UT WoS článku

  • EID výsledku v databázi Scopus

    2-s2.0-84960100983