REFORMING UNIT OPERATION CONTROL IN OIL AND GAS REFINING TECHNOLOGY

Abstract

The study and solution of breakdowns that arise in the decision-making process to control the operating modes of complex, fuzzy chemical-technological systems, such as a reformer, based on their models, is currently one of the topical issues of science and practice. To develop mathematical models of such systems characterized by a lack and fuzziness of the initial information and to solve decision-making problems in the process of controlling their operation modes, it becomes necessary to apply a systematic approach that allows the complex use of statistical methods, expert assessments and methods of fuzzy set theory. In this paper, on the example of a reforming unit of a catalytic reforming unit, the actual problems of complex systems characterized by a deficit and fuzzy initial information are investigated and effective methods for solving them are proposed. On the basis of a systematic approach, a technique for developing mathematical models of complex technological systems characterized by a lack of quantitative information and the fuzziness of available information is proposed. The proposed method allows solving the problems of synthesizing complex object models under conditions of uncertainty using available data and information of various nature. A block diagram of the decision-making process has been created and described. A mathematical statement of the problem of choosing an effective operating mode of the reforming unit in a fuzzy information environment is formalized and obtained in the form of a problem of fuzzy mathematical programming. Based on the methodology of system analysis, a new, effective method for developing models of objects characterized by a lack of quantitative data and fuzzy initial information is proposed, using the available information of a different nature. The formulation of the decision-making problem under conditions of fuzziness and the heuristic approach to its solution are based on the modification of the combination of the principles of optimality of the main criterion and maximin.