From axiomatics of quantum probability to modelling geological uncertainty and management of intelligent hydrocarbon reservoirs with the theory of open quantum systems
Por:
Lozada Aguilar, Miguel Angel, Khrennikov, Andrei, Oleschko, Klaudia
Publicada:
28 abr 2018
Resumen:
As was recently shown by the authors, quantum probability theory can be used for the modelling of the process of decision-making (e.g. probabilistic risk analysis) for macroscopic geophysical structures such as hydrocarbon reservoirs. This approach can be considered as a geophysical realization of Hilbert's programme on axiomatization of statistical models in physics (the famous sixth Hilbert problem). In this conceptual paper, we continue development of this approach to decision-making under uncertainty which is generated by complexity variability, heterogeneity, anisotropy, as well as the restrictions to accessibility of subsurface structures. The belief state of a geological expert about the potential of exploring a hydrocarbon reservoir is continuously updated by outputs of measurements, and selection of mathematical models and scales of numerical simulation. These outputs can be treated as signals from the information environment E. The dynamics of the belief state can be modelled with the aid of the theory of open quantum systems: a quantum state (representing uncertainty in beliefs) is dynamically modified through coupling with E, stabilization to a steady state determines a decision strategy. In this paper, the process of decision-making about hydrocarbon reservoirs (e.g. 'explore or not?', 'open new well or not?', 'contaminated by water or not?', 'double or triple porosity medium?') is modelled by using the Gorini-Kossakowski-Sudarshan-Lindblad equation. In our model, this equation describes the evolution of experts' predictions about a geophysical structure. We proceed with the information approach to quantum theory and the subjective interpretation of quantum probabilities (due to quantum Bayesianism). This article is part of the theme issue 'Hilbert's sixth problem'. © 2018 The Author(s) Published by the Royal Society. All rights reserved.
Filiaciones:
Lozada Aguilar, Miguel Angel:
Aseguramiento Tecnol Pemex Explorac & Prod, Blvd Adolfo Ruiz Cortines 1202, Tabasco 86030, Mexico
Khrennikov, Andrei:
Linnaeus Univ, Math Inst, Int Ctr Math Modelling Phys & Cognit Sci, SE-35195 Vaxjo, Sweden
Oleschko, Klaudia:
Univ Nacl Autonoma Mexico, Ctr Geociencias, Campus UNAM Juriquilla,Blvd Juriquilla 3001, Queretaro 76230, Qro, Mexico
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