Д.В. Назаров, А.А. Леонова, А.О. Межова, Н.Е. Поданев, Е.Д. Агафонов
{"title":"APPLICATION OF DEEP LEARNING METHODS FOR AUTOMATIC RECOVERY OF RESERVOIRS IN THE SECTION OF OIL AND GAS WELLS","authors":"Д.В. Назаров, А.А. Леонова, А.О. Межова, Н.Е. Поданев, Е.Д. Агафонов","doi":"10.36622/vstu.2022.87.1.016","DOIUrl":"https://doi.org/10.36622/vstu.2022.87.1.016","url":null,"abstract":"Статья посвящена решению задачи автоматического поиска интервалов коллекторов по данным геофизических исследований скважин (ГИС) нефтяных и газовых месторождений. Cоздана система распознавания типа коллектора, позволяющая достичь средней точности на тестовой выборке 92,2%.\u0000 The article is devoted to solving the problem of automatic search of reservoir intervals according to geophysical well surveys (GIS) of oil and gas fields. This article proposes an algorithm that allows to automate the allocation of collector zones using deep-learning neural network technologies. As a result, based on the data obtained from a group of wells of an oil field located in the Krasnoyarsk Territory, a reservoir type recognition system was created that allows achieving an average accuracy of 92.2% on a test sample.","PeriodicalId":331043,"journal":{"name":"СИСТЕМЫ УПРАВЛЕНИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127649747","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A METHOD FOR EVALUATING AND SELECTING A RELIABLE SITUATION CENTER USING THE DOMINANT LAW OF THE DISTRIBUTION OF RANDOM VARIABLES VALUES","authors":"Е.Л. Трахинин","doi":"10.36622/vstu.2022.87.1.009","DOIUrl":"https://doi.org/10.36622/vstu.2022.87.1.009","url":null,"abstract":"Результаты заключаются в возможности подбора рационального варианта использования законов распределения случайных величин при моделировании оценки надежности ситуационных центров (СЦ) в условиях возрастающей на них информационной нагрузки с учетом возможностей СЦ функционировать в этих условиях.\u0000 The result is the possibility of selection of rational use of the laws of distribution of random variables in modeling the reliability assessment of SC in terms of increasing information load taking into account the capacity of SC to function in these conditions.","PeriodicalId":331043,"journal":{"name":"СИСТЕМЫ УПРАВЛЕНИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115999106","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Х.К. Каиркенов, Алексей Владимирович Зимин, И.В. Буркова, В.В. Зимин
{"title":"ABOUT THE MECHANISM OF FORMATION OF DEVELOPMENT PROGRAMS, CONTAINING MULTI-PURPOSE PROJECTS","authors":"Х.К. Каиркенов, Алексей Владимирович Зимин, И.В. Буркова, В.В. Зимин","doi":"10.36622/vstu.2022.87.1.015","DOIUrl":"https://doi.org/10.36622/vstu.2022.87.1.015","url":null,"abstract":"В статье рассматривается процедура формирования программ развития, включающих несколько направлений, каждое из которых содержит проекты, описываемые заданной эффективностью и размером инвестиций.\u0000 The article discusses the procedure for the formation of development programs that include several areas, each of which contains projects described by a given efficiency and investment size.","PeriodicalId":331043,"journal":{"name":"СИСТЕМЫ УПРАВЛЕНИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133874458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"APPLICATION OF EVOLUTIONARY ALGORITHMS IN DESIGNING INTERPRETABLE MACHINE LEARNING MODELS FOR CLASSIFICATION PROBLEMS","authors":"П.А. Шерстнев, Евгений С. Семенкин","doi":"10.36622/vstu.2022.87.1.004","DOIUrl":"https://doi.org/10.36622/vstu.2022.87.1.004","url":null,"abstract":"Рассматривается подход с применением системы на нечеткой логике для объяснения решений искусственной нейронной сети на задаче классификации. Особенность рассматриваемого подхода состоит в использовании эволюционных алгоритмов для автоматического проектирования моделей.\u0000 In this paper, we consider an approach using a fuzzy logic system to explain the solutions of an artificial neural network on classification problems. A feature of the approach under consideration is the use of evolutionary algorithms for automatic design of models. It is shown that tuning a fuzzy system at the inputs and outputs of a neural network makes it possible to obtain a simple and interpretable rule base with an accuracy comparable to that of a neural network.","PeriodicalId":331043,"journal":{"name":"СИСТЕМЫ УПРАВЛЕНИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ","volume":"283 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127495030","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"QUESTIONS OF INDIRECT IMPACT MODERN INFORMATION LEAK PREVENTION SYSTEMS AND USER ACTION CONTROL SYSTEMS TO INFORMATION SECURITY","authors":"Д.В. Шепетько, И.В. Власов, Э.И. Цой","doi":"10.36622/vstu.2022.87.1.017","DOIUrl":"https://doi.org/10.36622/vstu.2022.87.1.017","url":null,"abstract":"Приводится обобщение функций DLP-систем с точки зрения их рассмотрения, как класса специального программного обеспечения поддержки администратора безопасности информационной системы. Предложен подход к рассмотрению указанных классов программного обеспечения с точки зрения моделей угроз указанных систем и нарушителя, эксплуатирующего недекларируемые возможности их функциональных модулей.\u0000 The article provides a detailed analysis functionality of data loss prevention systems (DLP systems) and employee monitoring systems (EMS systems) in terms of their indirect impact on various aspects of information security in corporate information systems. The functions of DLP systems are summarized from the point of view of their consideration as special software class to support the information system security administrator. Introduce the conceptual model of employee monitoring systems and given their functions taxonomy variant as a similar class of special software. An approach is proposed to consider these classes of software from the point of view of threat models of these systems and the intruder exploiting the undeclared capabilities of their functional modules.","PeriodicalId":331043,"journal":{"name":"СИСТЕМЫ УПРАВЛЕНИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126890211","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"AUTOMATED METHODOLOGY OF CAREER GUIDANCE TESTING AS A DECISION SUPPORT SYSTEM","authors":"Ю.С. Тарасова","doi":"10.36622/vstu.2022.87.1.018","DOIUrl":"https://doi.org/10.36622/vstu.2022.87.1.018","url":null,"abstract":"В статье рассматриваются методы автоматизации профориентационной методики через реализацию нейросетевого классификатора на основе трех архитектур сверточных нейронных сетей и не нейросетевого классификатора, основанного на алгоритме обработки изображений скользящим окном.\u0000 The article discusses methods for automating career guidance through the implementation of a neural network classifier based on three architectures of convolutional neural networks (CNN, or ConvNet) and a non-neural network classifier based on the sliding window image processing algorithm.","PeriodicalId":331043,"journal":{"name":"СИСТЕМЫ УПРАВЛЕНИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129327793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"ALGORITHM OF BANDWIDTH DISTRIBUTION OF A LOGICAL CHANNEL OF A MULTI-SERVICE COMMUNICATION NETWORK, TAKING INTO ACCOUNT INSUFFICIENT OBSERVABILITY OF A RESOURCE PROVIDED BY A COMMUNICATION OPERATOR","authors":"О.В. Крюков, А.Ю. Остриков, В.С. Щербаков, С.А. Покацкий, Илья Владимирович Ульянов","doi":"10.36622/vstu.2021.86.4.013","DOIUrl":"https://doi.org/10.36622/vstu.2021.86.4.013","url":null,"abstract":"В работе предложен алгоритм распределения полосы пропускания логического канала мультисервисной сети связи, позволяющий повысить качество обслуживания для отдельных сервисов в условиях, когда арендуемый у оператора связи ресурс пропускной способности характеризуется недостаточной наблюдаемостью и отсутствует обмен метками QoS на транспортном уровне.\u0000 The paper proposes algorithm of bandwidth distribution of a logical channel of a multiservice communication network, which makes it possible to improve the quality of service for individual services in conditions when the bandwidth resource leased from a telecom operator is characterized by insufficient observability and there is no exchange of QoS tags at the transport level.","PeriodicalId":331043,"journal":{"name":"СИСТЕМЫ УПРАВЛЕНИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124077652","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"APPLICATION OF THE ATTITUDE IDENTIFICATION MODEL TO THE OBJECT BASED ON THE SOCIAL MEDIA PUBLICATIONS ANALYSIS FOR SOLVING APPLIED PROBLEMS IN ASSESSING THE EFFECTIVENESS OF THE ACTIVITIES OF SENIOR RUSSIAN FEDERATION SUBJECTS OFFICIALS","authors":"С.В. Шекшуев","doi":"10.36622/vstu.2021.86.4.010","DOIUrl":"https://doi.org/10.36622/vstu.2021.86.4.010","url":null,"abstract":"В статье изложена оценка эффективности модели идентификации отношения к целевому объекту на основе публикаций в социальных сетях, использующей искусственные показатели публикаций социальных сетей, полученные на основе структурно-временных характеристик последних.\u0000 The article evaluates the effectiveness of the attitude identification model to the target object based on social networks publications, using social network publications artificial indicators obtained on their structural and temporal characteristics basis.","PeriodicalId":331043,"journal":{"name":"СИСТЕМЫ УПРАВЛЕНИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129199449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"DEVELOPMENT OF A MATHEMATICAL MODEL FOR THE FUNCTIONING OF A MULTI-NODE DECENTRALIZED SYSTEM FOR MANAGING DATA FLOWS OF MOBILE DEVICES","authors":"М.С. Рыкшин","doi":"10.36622/vstu.2021.86.4.015","DOIUrl":"https://doi.org/10.36622/vstu.2021.86.4.015","url":null,"abstract":"В статье рассматривается модель распределенной автоматизированной системы информационного мониторинга в режиме реального времени в условиях нестационарной нагрузки. Приведена структура, описана математическая модель, представлен алгоритм и некоторые результаты исследований.\u0000 The article discusses a model of a distributed automated information monitoring system in real time under non-stationary load conditions. The structure is given, a mathematical model is described, an algorithm and some research results are presented.","PeriodicalId":331043,"journal":{"name":"СИСТЕМЫ УПРАВЛЕНИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116572836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"DEVELOPMENT OF A MODEL OF THE IRON ORE CONCENTRATE DEWATERING PROCESS","authors":"Сергей Халапян, А.О. Анпилов","doi":"10.36622/vstu.2021.86.4.004","DOIUrl":"https://doi.org/10.36622/vstu.2021.86.4.004","url":null,"abstract":"Исследование направлено на разработку адаптивной системы автоматического управления процессом обезвоживания железорудного концентрата, от протекания которого зависит производительность передела, качество и себестоимость выходного продукта данного процесса и дальнейших переделов.\u0000 The research is aimed at developing an adaptive system for automatic control of the iron ore concentrate dewatering process, on the course of which the processing productivity, quality and cost of the output product of this process and further processing depends.","PeriodicalId":331043,"journal":{"name":"СИСТЕМЫ УПРАВЛЕНИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ","volume":"273 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125725331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}