A Long-Term Mathematical Model for Mining Industries
- 1. Univ. Paris Diderot, Sorbonne Paris Cité, Laboratoire Jacques-Louis Lions, UMR 7598, UPMC, CNRS (France)
- 2. CERNA, Mines ParisTech (France)
- 3. Univ. Paris Dauphine (France)
- 4. Collège de France (France)
Description
A parcimonious long term model is proposed for a mining industry. Knowing the dynamics of the global reserve, the strategy of each production unit consists of an optimal control problem with two controls, first the flux invested into prospection and the building of new extraction facilities, second the production rate. In turn, the dynamics of the global reserve depends on the individual strategies of the producers, so the models leads to an equilibrium, which is described by low dimensional systems of partial differential equations. The dimensionality depends on the number of technologies that a mining producer can choose. In some cases, the systems may be reduced to a Hamilton–Jacobi equation which is degenerate at the boundary and whose right hand side may blow up at the boundary. A mathematical analysis is supplied. Then numerical simulations for models with one or two technologies are described. In particular, a numerical calibration of the model in order to fit the historical data is carried out.
Additional details
Identifiers
Publishing Information
- Journal Title
- Applied Mathematics and Optimization
- Journal Volume
- 74
- Journal Issue
- 3
- Journal Page Range
- p. 579-618
- ISSN
- 0095-4616
INIS
- Country of Publication
- United States
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 48064088
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
- Descriptors DEI
- AVAILABILITY; CALIBRATION; COMPUTERIZED SIMULATION; EQUILIBRIUM; EXTRACTION; HAMILTON-JACOBI EQUATIONS; MATHEMATICAL MODELS; MINERAL INDUSTRY; MINING; OPTIMAL CONTROL
- Descriptors DEC
- CONTROL; DIFFERENTIAL EQUATIONS; EQUATIONS; INDUSTRY; PARTIAL DIFFERENTIAL EQUATIONS; SEPARATION PROCESSES; SIMULATION
Optional Information
- Copyright
- Copyright (c) 2016 Springer Science+Business Media New York
- Notes
- http://www.springer-ny.com