Predicting volcanic activity and compositional content of effusive rocks. Geochemical modelling of the formation of mud volcano breccias organic moieties using artificial intelligence capacity

Abstract

Nowadays, with the advent and development of artificial intelligence (AI) capabilities, it has become realistic to perform accurate modelling and make predictions on many physical, chemical, biological and geological processes occurring in nature, in living organisms, or carried out artificially, in field, laboratory and industrial circumstances. Basic and specialized computer software (SW) of AI, covering practically all the data accumulated during centuries by rich human experience and practice of experimentation, allow to provide final, almost reliable information about given objects and processes. Since this direction and approaches are still only at the initial stage of their development, it seemed appropriate to provide information about some computer programs that allow modelling natural processes. As an example, this paper presents the question of modelling the organic composition of volcanic rocks by means of available computer programs provided by the AI network. It seems that this information will be useful for readers, profile specialists and experts in solving such problems and will save them from long wandering through various internet resources.