DocumentCode :
2504458
Title :
Underground Wireless Communications for Monitoring of Drag Anchor Embedment Parameters: A Feasibility Study
Author :
Valera, Alvin ; Tan, Hwee-Pink ; Xiaoping, Ma
Author_Institution :
Inst. for Infocomm Res. (I2R), Singapore, Singapore
fYear :
2010
fDate :
20-23 April 2010
Firstpage :
713
Lastpage :
720
Abstract :
In the offshore engineering community, reliable deep-water anchor performance is critical for mooring floating platforms such as Mobile Offshore Drilling Units. In a typical installation, an anchor is fully embedded into the seabed (up to 100 m). This has to be done with high fidelity as anchor failure can cause floating units to go adrift, damaging oil and gas pipelines. The likelihood of this happening may be reduced with a data acquisition system comprising various sensors/measurement instruments housed in the anchor, where their data is then transmitted in some ways towards the seabed, and then onwards to the installation vessel. In this paper, we explore the feasibility of electromagnetic wave underground wireless communications as a low cost means to transmit key anchor parameters from the anchor to the seabed. We employ two semi-empirical models to obtain the path loss characteristics at different operating frequencies and volumetric water contents.
Keywords :
anchors; condition monitoring; data acquisition; gas industry; offshore installations; oil drilling; pipelines; radiocommunication; underground communication; data acquisition system; deep-water anchor performance; drag anchor embedment parameter monitoring; electromagnetic wave underground wireless communications; gas pipelines; mobile offshore drilling units; mooring floating platforms; offshore engineering; oil pipelines; path loss characteristics; semi-empirical models; Condition monitoring; Data acquisition; Drilling; Electromagnetic measurements; Instruments; Petroleum; Pipelines; Reliability engineering; Sensor systems; Wireless communication; Underground through-soil wireless communications; drag anchor embedment monitoring; empirical modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Information Networking and Applications (AINA), 2010 24th IEEE International Conference on
Conference_Location :
Perth, WA
ISSN :
1550-445X
Print_ISBN :
978-1-4244-6695-5
Type :
conf
DOI :
10.1109/AINA.2010.15
Filename :
5474799
Link To Document :
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