Оценка эффективности рециркуляционной технологии использования метанола при подготовке газа методом низкотемпературной сепарации

Объектом исследования является технология подготовки газа на Мыльджинском газоконденсатном месторождении. Цель данной работы – повышение эффективности использования метанола при подготовке газа методом низкотемпературной сепарации. С помощью моделирования в среде программы UniSim Design проведено исследование вариантов реализации рециркуляционной технологии использования метанола на УКПГ Мыльджинского месторождения. В результате исследования выявлено, что предлагаемый вариант рециркуляционной технологии позволяет сократить расход метанола на 110–140 кг/ч (40–45 %) за счет уменьшения уноса метанола с нестабильным конденсатом. Добавленная в технологическую схему установка ректификации метанола позволяет вернуть в технологический процесс еще 85–120 кг/ч метанола.The object of the study is the gas preparation technology at the Myldzhinskoye gas condensate field. The goal of this work is to increase the efficiency of methanol use in gas preparation by the low-temperature separation method. Using simulation in the UniSim Design program environment, a study was carried out on options for the implementation of the recirculation technology for the use of methanol at the gas treatment unit at the Myldzhinskoye field. As a result of the study, it was found that the proposed version of the recirculation technology reduces methanol consumption by 110–140 kg / h (40–45%) by reducing the entrainment of methanol with unstable condensate. The methanol rectification unit allows to return another 85–120 kg / h of methanol to the process

Large-scale Network Monitoring for Visual Analysis of Attacks

Abstract. The importance of the Internet and our dependency on computer networks are steadily growing, which results in high costs and substantial consequences in case of successful intrusions, stolen data, and interrupted services. At the same time, a trend towards massive attacks against the network infrastructure is noticeable. Therefore, monitoring large networks has become an important field in practice and research. Through monitoring systems, attacks can be detected and analyzed to gain knowledge of how to better protect the network in the future. In the scope of this paper, we present a system to analyze NetFlow data using a relational database system. NetFlow records are linked with alerts from an intrusion detection system to enable efficient exploration of suspicious activity within the monitored network. Within the system, the monitored network is mapped to a TreeMap visualization, the attackers are arranged at the borders and linked using splines parameterized with prefix information. In a series of case studies, we demonstrate how the tool can be used to judge the relevance of alerts, to reveal massive distributed attacks, and to analyze service usage within a network. Key words: visual network monitoring, visualization for network security, large-scale netflow analysis

Interactive Analysis of NetFlows for Misuse Detection in Large IP Networks

While more and more applications require higher network bandwidth, there is also a tendency that large portions of this bandwidth are misused for dubious purposes, such as unauthorized VoIP, file sharing, or criminal botnet activity. Automatic intrusion detection methods can detect a large portion of such misuse, but novel patterns can only be detected by humans. Moreover, interpretation of large amounts of alerts imposes new challenges on the analysts. The goal of this paper is to present the visual analysis system NFlowVis to interactively detect unwanted usage of the network infrastructure either by pivoting NetFlows using lDS a1erts or by specifying usage patterns, such as sets of suspicious port numbers. Thereby, our work focuses on providing a scalable approach to store and retrieve large quantities of NetFlows by means of a database management system