Economic block model development for mining seafloor massive sulfides
To support open-pit studies related to seafloor massive sulfides mining projects, an economic block-model is required. A modular framework is proposed to produce economic block models accommodating various levels of data. The framework is illustrated on a site of interest located on the Arctic Mid-O...
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Online Access: | http://hdl.handle.net/11250/2612136 https://doi.org/10.3390/min8100468 |
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ftntnutrondheimi:oai:ntnuopen.ntnu.no:11250/2612136 2023-05-15T15:08:52+02:00 Economic block model development for mining seafloor massive sulfides Lesage, Maxime Juliani, Cyril Jerome Ellefmo, Steinar Løve 2018 http://hdl.handle.net/11250/2612136 https://doi.org/10.3390/min8100468 eng eng MDPI Minerals. 2018, 8 (10), 1-27. urn:issn:2075-163X http://hdl.handle.net/11250/2612136 https://doi.org/10.3390/min8100468 cristin:1624473 Navngivelse 4.0 Internasjonal http://creativecommons.org/licenses/by/4.0/deed.no CC-BY 1-27 8 Minerals 10 Journal article Peer reviewed 2018 ftntnutrondheimi https://doi.org/10.3390/min8100468 2019-09-17T06:55:24Z To support open-pit studies related to seafloor massive sulfides mining projects, an economic block-model is required. A modular framework is proposed to produce economic block models accommodating various levels of data. The framework is illustrated on a site of interest located on the Arctic Mid-Ocean Ridge. Random sampling based on literature datasets is performed to assign grades, porosity and grain density to the model. Other required parameters are produced using relationships found in the literature. Revenues are estimated using literature values within a net smelter return methodology. Mining costs are determined using the cost of a mining system and the estimated time required for excavating the ore. The excavating time is assessed through the specific energy for the ore and the mining machines. The specific energy is calculated with a hyperbaric rock-cutting model. An economic block value of each mining block is then provided. The mining block database resulting from the study constitutes a valuable input into further studies on resource development. The framework has also been used to support a sensitivity study. The availability of the marine assets has been found as having the greatest influence on the economic value of the study case. publishedVersion © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Article in Journal/Newspaper Arctic NTNU Open Archive (Norwegian University of Science and Technology) Arctic Minerals 8 10 468 |
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Open Polar |
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NTNU Open Archive (Norwegian University of Science and Technology) |
op_collection_id |
ftntnutrondheimi |
language |
English |
description |
To support open-pit studies related to seafloor massive sulfides mining projects, an economic block-model is required. A modular framework is proposed to produce economic block models accommodating various levels of data. The framework is illustrated on a site of interest located on the Arctic Mid-Ocean Ridge. Random sampling based on literature datasets is performed to assign grades, porosity and grain density to the model. Other required parameters are produced using relationships found in the literature. Revenues are estimated using literature values within a net smelter return methodology. Mining costs are determined using the cost of a mining system and the estimated time required for excavating the ore. The excavating time is assessed through the specific energy for the ore and the mining machines. The specific energy is calculated with a hyperbaric rock-cutting model. An economic block value of each mining block is then provided. The mining block database resulting from the study constitutes a valuable input into further studies on resource development. The framework has also been used to support a sensitivity study. The availability of the marine assets has been found as having the greatest influence on the economic value of the study case. publishedVersion © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
format |
Article in Journal/Newspaper |
author |
Lesage, Maxime Juliani, Cyril Jerome Ellefmo, Steinar Løve |
spellingShingle |
Lesage, Maxime Juliani, Cyril Jerome Ellefmo, Steinar Løve Economic block model development for mining seafloor massive sulfides |
author_facet |
Lesage, Maxime Juliani, Cyril Jerome Ellefmo, Steinar Løve |
author_sort |
Lesage, Maxime |
title |
Economic block model development for mining seafloor massive sulfides |
title_short |
Economic block model development for mining seafloor massive sulfides |
title_full |
Economic block model development for mining seafloor massive sulfides |
title_fullStr |
Economic block model development for mining seafloor massive sulfides |
title_full_unstemmed |
Economic block model development for mining seafloor massive sulfides |
title_sort |
economic block model development for mining seafloor massive sulfides |
publisher |
MDPI |
publishDate |
2018 |
url |
http://hdl.handle.net/11250/2612136 https://doi.org/10.3390/min8100468 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
1-27 8 Minerals 10 |
op_relation |
Minerals. 2018, 8 (10), 1-27. urn:issn:2075-163X http://hdl.handle.net/11250/2612136 https://doi.org/10.3390/min8100468 cristin:1624473 |
op_rights |
Navngivelse 4.0 Internasjonal http://creativecommons.org/licenses/by/4.0/deed.no |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.3390/min8100468 |
container_title |
Minerals |
container_volume |
8 |
container_issue |
10 |
container_start_page |
468 |
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1766340141486440448 |