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Non-invasive sensor network to map stationary bed heights and moving dunes along pipelines larger than NB150

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dc.contributor.author Ilgner, Hartmut J
dc.contributor.author Kruger, Carel P
dc.date.accessioned 2018-07-17T12:03:11Z
dc.date.available 2018-07-17T12:03:11Z
dc.date.issued 2018-04
dc.identifier.citation Ilgner, H.J. and Kruger, C.P. 2018. Non-invasive sensor network to map stationary bed heights and moving dunes along pipelines larger than NB150. 21st International Seminar on Paste and Thickened Tailings, 11-13 April 2018, Perth, Australia en_US
dc.identifier.isbn 978-0-9924810-8-7
dc.identifier.uri https://papers.acg.uwa.edu.au/p/1805_11_Ilgner/
dc.identifier.uri http://hdl.handle.net/10204/10307
dc.description Open access paper presented at the 21st International Seminar on Paste and Thickened Tailings, 11-13 April 2018, Perth, Australia en_US
dc.description.abstract While the presence of stationary beds is generally regarded as an undesired operating condition, the recent monitoring of industrial pipelines with novel instrumentation has now revealed that beds indeed repeatedly developed under certain operating conditions. The smaller beds depleted routinely after process conditions returned to normal. However, as soon as bed heights increased beyond a certain value, pressures and flow rates were insufficient to prevent subsequent pipeline blockages. This novel instrumentation is now being further enhanced in two ways. Firstly, additional sensors are mounted along the circumference of the pipe so that the actual bed height can be provided as a percentage of the pipe diameter and be used as a single parameter for bed control. Secondly, multiples of these sensor sets can be installed at key locations along the pipeline where settlement is expected. The results from all sensor sets are integrated online for visualisation to provide an instant overview of the actual bed conditions to the operator. In this way the pipeline can intentionally be operated safely with a known bed height. The effects of interventions deployed to change the bed height are immediately available for responsive process control. Based on the experiences from recent field work, the paper concludes with an assessment of trade-offs which were necessary to design a reliable wireless sensor network. en_US
dc.language.iso en en_US
dc.publisher Australian Centre for Geomechanics en_US
dc.relation.ispartofseries Worklist;21022
dc.subject Industrial pipelines en_US
dc.subject Stationary beds en_US
dc.subject Online visualisation en_US
dc.subject Wireless pipeline monitoring en_US
dc.title Non-invasive sensor network to map stationary bed heights and moving dunes along pipelines larger than NB150 en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Ilgner, H. J., & Kruger, C. P. (2018). Non-invasive sensor network to map stationary bed heights and moving dunes along pipelines larger than NB150. Australian Centre for Geomechanics. http://hdl.handle.net/10204/10307 en_ZA
dc.identifier.chicagocitation Ilgner, Hartmut J, and Carel P Kruger. "Non-invasive sensor network to map stationary bed heights and moving dunes along pipelines larger than NB150." (2018): http://hdl.handle.net/10204/10307 en_ZA
dc.identifier.vancouvercitation Ilgner HJ, Kruger CP, Non-invasive sensor network to map stationary bed heights and moving dunes along pipelines larger than NB150; Australian Centre for Geomechanics; 2018. http://hdl.handle.net/10204/10307 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Ilgner, Hartmut J AU - Kruger, Carel P AB - While the presence of stationary beds is generally regarded as an undesired operating condition, the recent monitoring of industrial pipelines with novel instrumentation has now revealed that beds indeed repeatedly developed under certain operating conditions. The smaller beds depleted routinely after process conditions returned to normal. However, as soon as bed heights increased beyond a certain value, pressures and flow rates were insufficient to prevent subsequent pipeline blockages. This novel instrumentation is now being further enhanced in two ways. Firstly, additional sensors are mounted along the circumference of the pipe so that the actual bed height can be provided as a percentage of the pipe diameter and be used as a single parameter for bed control. Secondly, multiples of these sensor sets can be installed at key locations along the pipeline where settlement is expected. The results from all sensor sets are integrated online for visualisation to provide an instant overview of the actual bed conditions to the operator. In this way the pipeline can intentionally be operated safely with a known bed height. The effects of interventions deployed to change the bed height are immediately available for responsive process control. Based on the experiences from recent field work, the paper concludes with an assessment of trade-offs which were necessary to design a reliable wireless sensor network. DA - 2018-04 DB - ResearchSpace DP - CSIR KW - Industrial pipelines KW - Stationary beds KW - Online visualisation KW - Wireless pipeline monitoring LK - https://researchspace.csir.co.za PY - 2018 SM - 978-0-9924810-8-7 T1 - Non-invasive sensor network to map stationary bed heights and moving dunes along pipelines larger than NB150 TI - Non-invasive sensor network to map stationary bed heights and moving dunes along pipelines larger than NB150 UR - http://hdl.handle.net/10204/10307 ER - en_ZA


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