PDF

Fe-Sulfide Liberation and Association as a Proxy for the Interpretation of Acid Rock Drainage (ARD) Test Results

Olga Guseva, Alexander K. B. Opitz

2016enacid rock drainagemineralogybiokinetic testsgeochemical teststextural analysis

Abstract

Language:

Acid rock drainage (ARD) characterisation and prediction protocols, comprising geochemical static, kinetic and biokinetic tests, sometimes fail to adequately assess the ARD potentials of sulfi dic mine wastes. Several authors have partly linked this shortfall to the insufficient use of mineralogical and textural analyses. Mineral liberation and association data may inform the interpretation of the results of standard ARD tests and this study assesses these parameters for Fe-sulfi de minerals in the feed material for humidity cell (meso-scale), static and biokinetic (micro-scale) tests. Results show that the dominating textural parameters on the meso- and micro-scales are association and liberation, respectively.

Download

Cite This Work

@article{eb7ba552-9e75-4dec-b0bb-b2d9beac4ecc,
  title={Fe-Sulfide Liberation and Association as a Proxy for the Interpretation of Acid Rock Drainage (ARD) Test Results},
  author={Olga Guseva and Alexander K. B. Opitz},
  year={2016},
  language={en}
}
TY  - JOUR
TI  - Fe-Sulfide Liberation and Association as a Proxy for the Interpretation of Acid Rock Drainage (ARD) Test Results
AU  - Olga Guseva
AU  - Alexander K. B. Opitz
PY  - 2016
LA  - en
ER  -

Similar Items

Proceedings of the Metallurgical Society of the Canadian Tumilty, J.A. ( WeLib.org )

2026enPDF

Plant auditing: a powerful tool for improving metallurgical plant performance

Deepak Malhotra

This work discusses the essential components of a rigorous auditing process aimed at enhancing metallurgical plant performance. The objective is to id

2015enPDF

THE FUTURE OF ELECTRONIC WASTE RECYCLING IN THE UNITED STATES: Obstacles and Domestic Solutions

Jennifer Namias, Dr. Nickolas J. Themelis

This study explores the future of electronic waste recycling in the United States, addressing the challenges and proposing domestic solutions. The rap

2013enPDF

Metal Casting Processes

Unknown, Unknown

This chapter discusses metal casting processes, highlighting the diversity and common characteristics among them. The objective is to elucidate the fu

2023enPDF

Artificial intelligence-aided materials design: AI-algorithms and case studies on alloys and metallurgical processes

Rajesh Jha, Bimal Kumar Jha

This book describes the application of artificial intelligence (AI) and machine learning (ML) concepts to develop predictive models that can be used t

2022enPDF

Metallurgical Plant Design and Operating Strategies

The Australasian Institute of Mining and Metallurgy

This conference, held in Perth, Western Australia, focuses on the latest advancements in metallurgical processing plant design and operational strateg

2006enPDF