The article describes the technology developed by the specialists of NPO SNGS to reduce emergency situations during the construction of oil and gas wells using machine learning methods. The technology based on the elements of the Industry 4.0 concept such as digitalization, artificial intelligence, Industrial Internet of things, distributed registry technology (blockchain), is integrated into the Unofactor digital technology platform, which allows you to combine various software and hardware components into a single technological process. The emphasis is made also on ensuring the raw data reliability, achieved through the blockchain technology implementation inside the data acquisition, collection, storage, and transmission system. Methods for solving the problem of forecasting emergencies are given taking into account the applicability of machine learning methods when receiving drilling data from any well within the study area. The results of the application of the developed technology and the minimum necessary requirements for its implementation are presented taking into account the universality of the Unofactor digital platform. The main objects of the proposed technology are difficult wells with the complex environment (Eastern Siberia, Russian offshore fields) because the technology reduces the financial costs of the well designing and construction error checking and correcting by accident prevention.
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