Monitoring of Drill System Behavior for Water-Powered In-The-Hole (ITH) Drilling
A detailed understanding of the drilling system and the drilling control is required to correctly interpret rock mass conditions based on monitored drilling data. This paper analyses data from hydraulic in-the-hole (ITH) drills used in LKAB’s Malmberget mine in Sweden. Drill parameters, including pe...
Published in: | Minerals |
---|---|
Main Authors: | , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
MDPI AG
2017
|
Subjects: | |
Online Access: | https://doi.org/10.3390/min7070121 https://doaj.org/article/bb7b0277d8c4474797ea27e8d90f71d6 |
id |
ftdoajarticles:oai:doaj.org/article:bb7b0277d8c4474797ea27e8d90f71d6 |
---|---|
record_format |
openpolar |
spelling |
ftdoajarticles:oai:doaj.org/article:bb7b0277d8c4474797ea27e8d90f71d6 2023-05-15T17:10:09+02:00 Monitoring of Drill System Behavior for Water-Powered In-The-Hole (ITH) Drilling Rajib Ghosh Håkan Schunnesson Anna Gustafson 2017-07-01T00:00:00Z https://doi.org/10.3390/min7070121 https://doaj.org/article/bb7b0277d8c4474797ea27e8d90f71d6 EN eng MDPI AG https://www.mdpi.com/2075-163X/7/7/121 https://doaj.org/toc/2075-163X 2075-163X doi:10.3390/min7070121 https://doaj.org/article/bb7b0277d8c4474797ea27e8d90f71d6 Minerals, Vol 7, Iss 7, p 121 (2017) drill monitoring technique hydraulic in-the-hole (ITH) drilling measurement while drilling (MWD) rock mass characterization drill system behavior Mineralogy QE351-399.2 article 2017 ftdoajarticles https://doi.org/10.3390/min7070121 2022-12-31T08:56:32Z A detailed understanding of the drilling system and the drilling control is required to correctly interpret rock mass conditions based on monitored drilling data. This paper analyses data from hydraulic in-the-hole (ITH) drills used in LKAB’s Malmberget mine in Sweden. Drill parameters, including penetration rate, percussive pressure, feed pressure, and rotation pressure, are monitored in underground production holes. Calculated parameters, penetration rate variability, rotation pressure variability, and fracturing are included in the analysis to improve the opportunity to predict rock mass conditions. Principal component analysis (PCA) is used to address non-linearity and variable interactions. The results show that the data contain pronounced hole length-dependent trends, both linear and step-wise linear, for most parameters. It is also suggested that monitoring can be an efficient way to optimize target values for drill parameters, as demonstrated for feed force. Finally, principal component analysis can be used to transfer a number of drill parameters into single components with a more straightforward geomechanical meaning. Article in Journal/Newspaper Malmberget Directory of Open Access Journals: DOAJ Articles Minerals 7 7 121 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
drill monitoring technique hydraulic in-the-hole (ITH) drilling measurement while drilling (MWD) rock mass characterization drill system behavior Mineralogy QE351-399.2 |
spellingShingle |
drill monitoring technique hydraulic in-the-hole (ITH) drilling measurement while drilling (MWD) rock mass characterization drill system behavior Mineralogy QE351-399.2 Rajib Ghosh Håkan Schunnesson Anna Gustafson Monitoring of Drill System Behavior for Water-Powered In-The-Hole (ITH) Drilling |
topic_facet |
drill monitoring technique hydraulic in-the-hole (ITH) drilling measurement while drilling (MWD) rock mass characterization drill system behavior Mineralogy QE351-399.2 |
description |
A detailed understanding of the drilling system and the drilling control is required to correctly interpret rock mass conditions based on monitored drilling data. This paper analyses data from hydraulic in-the-hole (ITH) drills used in LKAB’s Malmberget mine in Sweden. Drill parameters, including penetration rate, percussive pressure, feed pressure, and rotation pressure, are monitored in underground production holes. Calculated parameters, penetration rate variability, rotation pressure variability, and fracturing are included in the analysis to improve the opportunity to predict rock mass conditions. Principal component analysis (PCA) is used to address non-linearity and variable interactions. The results show that the data contain pronounced hole length-dependent trends, both linear and step-wise linear, for most parameters. It is also suggested that monitoring can be an efficient way to optimize target values for drill parameters, as demonstrated for feed force. Finally, principal component analysis can be used to transfer a number of drill parameters into single components with a more straightforward geomechanical meaning. |
format |
Article in Journal/Newspaper |
author |
Rajib Ghosh Håkan Schunnesson Anna Gustafson |
author_facet |
Rajib Ghosh Håkan Schunnesson Anna Gustafson |
author_sort |
Rajib Ghosh |
title |
Monitoring of Drill System Behavior for Water-Powered In-The-Hole (ITH) Drilling |
title_short |
Monitoring of Drill System Behavior for Water-Powered In-The-Hole (ITH) Drilling |
title_full |
Monitoring of Drill System Behavior for Water-Powered In-The-Hole (ITH) Drilling |
title_fullStr |
Monitoring of Drill System Behavior for Water-Powered In-The-Hole (ITH) Drilling |
title_full_unstemmed |
Monitoring of Drill System Behavior for Water-Powered In-The-Hole (ITH) Drilling |
title_sort |
monitoring of drill system behavior for water-powered in-the-hole (ith) drilling |
publisher |
MDPI AG |
publishDate |
2017 |
url |
https://doi.org/10.3390/min7070121 https://doaj.org/article/bb7b0277d8c4474797ea27e8d90f71d6 |
genre |
Malmberget |
genre_facet |
Malmberget |
op_source |
Minerals, Vol 7, Iss 7, p 121 (2017) |
op_relation |
https://www.mdpi.com/2075-163X/7/7/121 https://doaj.org/toc/2075-163X 2075-163X doi:10.3390/min7070121 https://doaj.org/article/bb7b0277d8c4474797ea27e8d90f71d6 |
op_doi |
https://doi.org/10.3390/min7070121 |
container_title |
Minerals |
container_volume |
7 |
container_issue |
7 |
container_start_page |
121 |
_version_ |
1766066588307423232 |