Open AccessTechnology for developing expert modules and DSS comprehensive platform for reliability and risks monitoring in the Oil and Gas Engeneering
Author(s) -
Yu. D. Zemenkov,
Yu. D. Zemenkov,
В. В. Голик,
S. G. Belsky
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/952/1/012005
Subject(s) - reliability (semiconductor) , expert system , pipeline (software) , decision support system , control (management) , computer science , systems engineering , reliability engineering , fossil fuel , engineering , risk analysis (engineering) , data mining , artificial intelligence , medicine , power (physics) , physics , quantum mechanics , programming language , waste management
The paper describes the proposed technology for the development of expert modules and DSS for integrated reliability and risk control systems for oil and gas industry, as part of a complex of intelligent technological management of reliability and efficiency of oil and gas systems developed at TIU. All stages of the development of system modules for controlling technical risks, the features of the structure of the decision-making model for DSS, and the components of a static and dynamic expert system for transport and storage of hydrocarbons are considered. The features of creating decision support systems are described, their main functions and decision criteria and their main provisions. As an example, one of the modules of intelligent neural network engineering control for predicting halos of thawing soil in the vicinity of the pipeline and passing communications, and buildings is shown, a model for visualizing processing results is proposed.