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Comparison of spectral properties of the vibration signals and line pressure signals of DTH drills
Atlas Copco, SWE.
Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
2016 (English)In: ICSV 2016 - 23rd International Congress on Sound and Vibration: From Ancient to Modern Acoustics, International Institute of Acoustics and Vibrations , 2016Conference paper, Published paper (Refereed)
Abstract [en]

Quantifying and Monitoring of drilling performance are becoming exceedingly important in the case of Down the Hole drilling. Various economic, environmental and safety constraints are driving the drilling process to become more efficient. To make a robust system that would enable the performance/condition monitoring of the drilling, we must understand how different properties like different line pressure etc. respond to various drilling conditions and what information can they provide regarding the Drilling Performance. A comparison of different properties like spectral properties, of the vibration signals and Pressure signals under known conditions would enable better understanding of the drilling system and the physics behind the process. A comparison is made between the Spectral properties of the vibrational signals obtained from remote locations on the drill rig and pressure signals that provide the feed and holdback forces to the drill string and a correlation between their characteristics and patterns under good and bad drilling conditions have been made. A simplified model of the system is simulated and results are compared with the patterns obtained from analyzing the Vibration signals.

Place, publisher, year, edition, pages
International Institute of Acoustics and Vibrations , 2016.
Keywords [en]
Drill strings; Drilling; Drills; Oil well drilling, Down-the-hole drillings; Drilling performance; Drilling process; Drilling systems; Safety constraint; Spectral properties; Vibration signal; Vibrational signals, Vibration analysis
National Category
Mechanical Engineering Signal Processing
Identifiers
URN: urn:nbn:se:bth-13181ISI: 000388480403099Scopus ID: 2-s2.0-84987875820ISBN: 9789609922623 (print)OAI: oai:DiVA.org:bth-13181DiVA, id: diva2:1015078
Conference
016 23rd International Congress on Sound and Vibration, ICSV, Athens
Available from: 2016-10-04 Created: 2016-10-03 Last updated: 2017-06-16Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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