Development of an IoT Early Warning Platform for Augmented Decision Support in Oil & Gas

Title

Development of an IoT Early Warning Platform for Augmented Decision Support in Oil & Gas

Subject

Early Warning System
IIoT platform
Leakage Detection
Liquids
Oil and Gas Industry
Oils
Pipelines
Transportation
Vibrations
Wireless communication
Wireless sensor networks

Description

Pipelines are one of the most common systems for storing and transporting petroleum products, both liquid and gaseous. Despite their durable structures, leakages can occur for many reasons, causing environmental disasters, energy waste, and, in some cases, human losses. The object of the ESTHISIS project is the development of a low-cost and low-energy wireless sensor system for the immediate detection of leaks in metallic piping systems used for the transport of liquid and gaseous petroleum products in a noisy industrial environment. The method to be followed will be based on processing the changes monitored in the spectrum of vibration signals appearing in the pipeline walls due to a leakage effect and will aim at minimal interference with the piping system. It is intended to use low frequencies to detect and characterize leakage, to increase the range of sensors, and thus to reduce cost. In the current work, an Internet of Things (IoT) platform for leakage detection with integrated early-warning functionalities is described. The work focuses on the software services provided by the system and the cloud-based application developed for the monitoring of the ESTHISIS network by its users.
1-4

Creator

S. C. Christos
G. Nektarios
G. Fotios
D. Nikolaos
P. Panagiotis
P. Areti

Publisher

2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST)

Date

2021

Type

conferencePaper

Citation

S. C. Christos et al., “Development of an IoT Early Warning Platform for Augmented Decision Support in Oil & Gas,” Lamar University Midstream Center Research, accessed May 14, 2024, https://lumc.omeka.net/items/show/27272.

Output Formats