Applicability of interferometric SAR technology to ground movement and pipeline monitoring

Author(s):  
Dimitri A. Grivas ◽  
Chakravarthy Bhagvati ◽  
B. C. Schultz ◽  
Alan Trigg ◽  
Moness Rizkalla
Author(s):  
Michael Riedmann ◽  
Richard A. Sims ◽  
Caroline Rogg ◽  
Oliver Schleider

Innovative technologies provide the key to making pipeline operations more efficient. Thanks to recent progress in satellite-based remote sensing and image processing, it is now possible to design pipeline monitoring systems with remote sensors and context-oriented image processing software, as has been demonstrated in particular by the three-year ESA funded market development activity “PIPEMON – Geo-information services for pipeline operators: ground motion monitoring and route planning”. Business partners involved in the Project are currently undertaking pre-commercial trials with market players and potential customers, to better introduce and demonstrate Earth Observation (EO) data and services to the pipeline industry.


Author(s):  
Chinedu Duru ◽  
Neco Ventura ◽  
Mqhele Dlodlo

Background: Wireless Sensor Networks (WSNs) have been researched to be one of the ground-breaking technologies for the remote monitoring of pipeline infrastructure of the Oil and Gas industry. Research have also shown that the preferred deployment approach of the sensor network on pipeline structures follows a linear array of nodes, placed a distance apart from each other across the infrastructure length. The linear array topology of the sensor nodes gives rise to the name Linear Wireless Sensor Networks (LWSNs) which over the years have seen themselves being applied to pipelines for effective remote monitoring and surveillance. This paper aims to investigate the energy consumption issue associated with LWSNs deployed in cluster-based fashion along a pipeline infrastructure. Methods: Through quantitative analysis, the study attempts to approach the investigation conceptually focusing on mathematical analysis of proposed models to bring about conjectures on energy consumption performance. Results: From the derived analysis, results have shown that energy consumption is diminished to a minimum if there is a sink for every placed sensor node in the LWSN. To be precise, the analysis conceptually demonstrate that groups containing small number of nodes with a corresponding sink node is the approach to follow when pursuing a cluster-based LWSN for pipeline monitoring applications. Conclusion: From the results, it is discovered that energy consumption of a deployed LWSN can be decreased by creating groups out of the total deployed nodes with a sink servicing each group. In essence, the smaller number of nodes each group contains with a corresponding sink, the less energy consumed in total for the entire LWSN. This therefore means that a sink for every individual node will attribute to minimum energy consumption for every non-sink node. From the study, it can be concurred that energy consumption of a LWSN is inversely proportional to the number of sinks deployed and hence the number of groups created.


1997 ◽  
Vol 33 (18) ◽  
pp. 1581 ◽  
Author(s):  
R.J. Bullock ◽  
R. Voles ◽  
A. Currie ◽  
H.D. Griffiths ◽  
P.V. Brennan
Keyword(s):  

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