Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8076770 | Energy | 2014 | 8 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Energy
Energy (General)
Authors
V.K. Semenychev, E.I. Kurkin, E.V. Semenychev,