Modelling and forecasting the trends of life cycle curves in the production of non-renewable resources
In this study, we review mathematical models of trends in the production of non-renewable resources. We propose new models that allow specifying curve asymmetry and use genetic algorithms as curve-fitting methods. We estimate the quality of fit of our proposed models and use them to predict oil production in the OECD (Organisation for Economic Co-operation and Development) countries, the EU, the U.S., Norway, Syria, the UK, and some fields in Russia; gas production in the EU, the UK and Italy; shale gas production in the U.S.; coal production in the U.S. and Germany; as well as global gold production. The models fit the data accurately in all these cases.
Year of publication: |
2014
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Authors: | Semenychev, V.K. ; Kurkin, E.I. ; Semenychev, E.V. |
Published in: |
Energy. - Elsevier, ISSN 0360-5442. - Vol. 75.2014, C, p. 244-251
|
Publisher: |
Elsevier |
Subject: | Oil | Gas | Coal | Gold | Production | Model |
Saved in:
Online Resource
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