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A smart look at monitoring while drilling (MWD) and optimizing using acoustic emission technique (AET).
Khoshouei, Mehrbod; Bagherpour, Raheb; Yari, Mojtaba.
Afiliación
  • Khoshouei M; Department of Mining Engineering, Isfahan University of Technology, Isfahan, 8415683111, Iran.
  • Bagherpour R; Department of Mining Engineering, Isfahan University of Technology, Isfahan, 8415683111, Iran. bagherpour@iut.ac.ir.
  • Yari M; Department of Mining Engineering, Faculty of Engineering, Malayer University, Malayer, Iran.
Sci Rep ; 14(1): 19766, 2024 Aug 26.
Article en En | MEDLINE | ID: mdl-39187574
ABSTRACT
Monitoring while drilling (MWD) is a crucial task in mining operations. Accurately measuring drill and rock-related operating parameters can significantly reduce the cost of drilling operations. This study explores the potential of monitoring drilling specific energy (SE) and optimizing drilling operations by processing vibroacoustic signals generated while drilling. For this purpose, 30 samples of different rocks, are used for drilling tests. During the drilling process, the acoustic and vibration signals are recorded and analyzed in the time, frequency, and time-frequency domains., and parameters related to the resulting spectra are extracted. After obtaining the vibroacoustic parameters for drilling, the relationship between them and the drilling SE was investigated. There is evidence that the progression of SE contributes to the magnitude of rock drilling vibroacoustic features, which could be employed to indicate energy conditions during drilling. Results obtained in this study have the potential to be used as the basis for an industrial monitoring system that can detect excessive energy consumption and advise the user of the end of the bit's useful life. This method can be an intelligent technique for measuring the behavior of real-time drilling operations based on the SE simply by installing vibroacoustic sensors on the drilling machines.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sci Rep Año: 2024 Tipo del documento: Article País de afiliación: Irán Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sci Rep Año: 2024 Tipo del documento: Article País de afiliación: Irán Pais de publicación: Reino Unido