A Cost Effective Method to Enhance Dredge Mine Reconciliation in Heavy Minerals Mining Industry

Samaradivakara, GVI, Kizil, M and Knights, P (2009) A Cost Effective Method to Enhance Dredge Mine Reconciliation in Heavy Minerals Mining Industry. Marine Resources and Geotechnology, 27 4: 273-280.


Author Samaradivakara, GVI
Kizil, M
Knights, P
Title A Cost Effective Method to Enhance Dredge Mine Reconciliation in Heavy Minerals Mining Industry
Journal name Marine Resources and Geotechnology   Check publisher's open access policy
ISSN 1064-119X
Publication date 2009-10
Year available 2009
Sub-type Article (original research)
DOI 10.1080/10641190903256934
Volume 27
Issue 4
Start page 273
End page 280
Total pages 7
Editor John C Wiltschire
Ronald C Chaney
Place of publication London , United Kingdom
Publisher Taylor & Francis
Collection year 2010
Language eng
Subject 840207 Mining and Extraction of Titanium Minerals, Zircon, and Rare Earth Metal Ores (e.g. Monazite)
C1
091405 Mining Engineering
Abstract Heavy mineral deposits of placer origin are mostly found as beach or dune deposits. Suction cutter or bucket-wheel dredgers are used to exploit such deposits when water is present for the maintenance of artificial channels and dredge ponds. Production reconciliation of dredge mining is a complex process because slumping of material causes mixing of material to take place amongst resource blocks during mining operations. This paper reviews the applicability of sonar technology for the determination of material losses taking place in the dredge ponds, and also reviews the applicability of radio frequency identification (RFID) tags in conjunction with sonar technology as a cost effective method to enhance dredge mine production reconciliation in the heavy minerals mining industry.
Keyword dredge mining
heavy minerals
production reconciliation
sonar technology
IDENTIFICATION SYSTEMS
Q-Index Code C1
Q-Index Status Confirmed Code

Document type: Journal Article
Sub-type: Article (original research)
Collections: 2010 Higher Education Research Data Collection
School of Mechanical & Mining Engineering Publications
 
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