Cyber-Physical System for Pipeline Monitoring as a Component of Smart Oil Field

Abstract

AbstractDevelopment of intelligent methods and means for support of oil field infrastructure is an important direction of a smart oil field concept. The key element of this infrastructure is a field pipeline. Due to specifics of crude unprepared oil, oil field pipelines are subject to aggressive exposure and frequently go unserviceable. As a result, emergencies occur. In order to prevent such situations, it is useful to create a cyber-physical system for pipeline monitoring as part of a smart oilfield. The goal of this work is to develop a functional and physical architecture of cyber physical system of monitoring, as well as the base models for inferring solutions to prevent emergencies. The suggested system consists of two subsystems: a physical subsystem for data acquisition and control of the oil pipeline modes, and a computing subsystem for processing data and inferring solutions. It is suggested that the physical subsystem will use ultrasonic sensors which acquire data on the state of a multiphase flow in a pipeline in real time. The other subsystem will receive this data, interpret it and assess the current situation. If a near-emergency condition of the pipeline occurs, it will infer solutions for personnel in order to take prompt measures and prevent the emergency, and will also generate control actions for actuating mechanisms which control the modes of oil pipeline operation. The article defines a set of parameters which are acquired during monitoring. It is offered to use case based reasoning in order to interpret data and infer solutions.KeywordsCyber-physical systemPipelineMonitoringSmart oil fieldCase-based-reasoning