Modeling oil production based on symbolic regression
- 1 July 2015
- journal article
- research article
- Published by Elsevier BV in Energy Policy
- Vol. 82, 48-61
- https://doi.org/10.1016/j.enpol.2015.02.016
Abstract
No abstract availableFunding Information
- National Natural Science Foundation of China (71001016, 71031002, 71201016)
This publication has 37 references indexed in Scilit:
- Comparison of experimental designs for simulation-based symbolic regression of manufacturing systemsComputers & Industrial Engineering, 2011
- The status of conventional world oil reserves—Hype or cause for concern?Energy Policy, 2010
- The Peak of the Oil Age – Analyzing the world oil production Reference Scenario in World Energy Outlook 2008Energy Policy, 2010
- A variant of the Hubbert curve for world oil production forecastsEnergy Policy, 2009
- Mitigation of maximum world oil production: Shortage scenariosEnergy Policy, 2008
- Automated reverse engineering of nonlinear dynamical systemsProceedings of the National Academy of Sciences of the United States of America, 2007
- Testing HubbertEnergy Policy, 2007
- System dynamics model of Hubbert Peak for China's oilEnergy Policy, 2007
- Future oil production in Brazil—Estimates based on a Hubbert modelEnergy Policy, 2007
- Global oil & gas depletion: an overviewEnergy Policy, 2002