investigation of methods for modeling petroleum refining facilities to improve the reliability of predictive decision models

Development of models for recognition of technological situations in the operation of electric centrifugal pumps for oil production

“…Considering the availability of means and technologies for monitoring, measuring and transmitting data, the volumes of information taken from each operational facility, for example, from an ECP unit, increase, become available for processing and can be used to make decisions regarding the effective and safe operation of such equipment [8]. The volume of such information, combined with time restrictions and a signifi cant amount of simultaneously acting operational factors is an important restriction that prevents the use of such information in a "manual", purely operator mode [9,10]. To overcome such restrictions, decision support systems (DSSs) [11,12] can be developed and implemented, for which there are a signifi cant number of examples of successful application in many industries -energy [13,14], medicine [15,16,17], industrial production [18,19,20,21] and others.…”

“…It should also be noted that despite a fairly wide class of decision support tasks that are covered by already existing developments in terms of models and algorithms, there is no universal DSS capable of providing high effi ciency in processes irrespective of industry specifi cs [24]. This requires elaboration of issues in terms of the development and research of advanced approaches to computational model support for DSS in each separate direction in the development of science and technology, and of the oil and gas industry in particular [9,10]. In this regard, a relevant research area, discussed in this paper below, is to develop and study those methods and models that can be used as a DSS analytical computing core during the operation of oil and gas equipment, particularly, of ECP units, which are among the most demanded in the current production conditions.…”