Resumen

GARCIA-BENITEZ, Silvia Raquel  y  MARTINEZ-MENESES, José Henrique. Fuzzy expert system for preliminary qualification of carbon capture and storage projects. Rev. Int. Contam. Ambient [online]. 2023, vol.39, 54677.  Epub 10-Nov-2023. ISSN 0188-4999.  https://doi.org/10.20937/rica.54677.

Carbon dioxide capture and storage (CCS), as the process that separates CO2 emitted by industry and energy-related sources, transports it to a storage site and isolates it from the atmosphere over the long term, is an alternative for stabilizing atmospheric concentrations of greenhouse gases. The selection of the capture-storage site is a complex and multiparametric task that requires handling a large number of variables on the natural environment, infrastructure, and repercussions on the environment, among other parameters, and considering that the number of capture and storage sites from which to collect experiences for discarding or ratifying hypotheses, is still minimal. In this research, a diffuse expert system (DES) that assists in qualifying the susceptibility of a geographical context for the development of a CAC project, based on preliminary information on the state of the emission, the availability of infrastructure for transport, the tectonic environment, the specific qualities of the geological formations involved, the geothermal and pressure conditions, as well as the hydrodynamics of the system, is presented. The proposed DES extracts the experiences of experts on the subject who have rated environments and prioritized their effectiveness in CAC and translates them into clear rules that result in a rating for each site.

Palabras llave : global warming; geological storage; artificial intelligence; fuzzy logic.

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