AI MONITORING OF GEOLOGICAL ACTIVITY IN ENVIRONMENT AND CLIMATE CHANGE

Abstract

Monitoring geophysical processes is important for studying and preventing the climate change phenomenon. With the transition to big data processing methods, automated measurements and algorithmic analysis, this industry in Azerbaijan has entered a new stage - the introduction of Artificial Intelligence systems. This is especially noticeable in projects related to the study of Caspian Sea resources, where AI plays a key role in modeling underground structures, analyzing seismic signals and predicting potentially promising areas. Thus, the evolution of technology has not only increased the accuracy of scientific forecasts, but also promotes environmentally responsible use of marine resources. At the present stage, there is an active use of machine learning and artificial intelligence technologies. For example, neural network algorithms are used to recognize geological anomalies, predict promising drilling sites, and assess risks. This is especially relevant when working with data from the Caspian shelf zone, which is characterized by complex geology.