Abstract
The transition toward more environmentally friendly energy production and e-mobility will increase the global demand for metals and minerals. The ocean floor might contribute to meet this demand. This would require that the mineral resources are managed well, from both governmental and industry perspectives. Strategic mine planning is an integrated part of such a management process and is here developed for deep-sea mining based on state-of-the-art methodologies developed for onshore mining. Focus is on seafloor massive sulfides (SMS) deposits known to contain anomalous amounts of, for example, copper, zinc, gold, and silver. It is known that the deposits can form cone-shaped ore geometries. This calls for a mining method inspired from onshore open pit mining. Conceptual 3D geometric and qualimetric models of the Loki’s Castle occurrence along the Arctic Mid-Ocean Ridge are developed. Based on these models and the characteristics of a preferred mining system, a 3D economic block model is developed. This model is used in direct block scheduling with varying sets of assumptions to develop the ultimate pit and schedules for a potential extraction.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Notes
- 1.
Mining width corresponds to the minimum mining width that effectively can be mined given the preferred mining equipment. For the deep-sea mining case, this would be defined by the dimensions of the seafloor production tool (the SPT).
- 2.
Large assumption; although textural information from the TAG deposit is favorable and good processing performance is obtained on Solwara 1 samples, overall processing performance is uncertain.
References
Alford, C., & Hall, B. (2009). Stope Optimization Tools for Selection of Optimum Cut-Off Grade in Underground Mine Design. In Project Evaluation Conference 2009: Melbourne, Australia, 21 - 22 April 2009 (pp. 137–144). Presented at the Project Evaluation Conference, Red Hook, NY: Curran.
Alford, C., Brazil, M., & Lee, D. H. (2007). Optimisation in Underground Mining. In Handbook of operations research in natural resources. New York: Springer Science Business Media.
Asakawa, E., Murakami, F., Tara, K., Saito, S., Tsukahara, H., & Lee, S. (2018). Multi-Stage Seismic Survey for Seafloor Massive Sulphide (SMS) Exploration. In 2018 OCEANS - MTS/IEEE Kobe Techno-Oceans (OTO) (pp. 1–4). Presented at the 2018 OCEANS - MTS/IEEE Kobe Techno-Ocean (OTO), Kobe: IEEE. https://doi.org/10.1109/OCEANSKOBE.2018.8559188
Askari-Nasab, H., Pourrahimian, Y., Ben-Awuah, E., & Kalantari, S. (2011). Mixed integer linear programming formulations for open pit production scheduling. Journal of Mining Science, 47(3), 338–359. https://doi.org/10.1134/S1062739147030117
Baumberger, T., Früh-Green, G. L., Thorseth, I. H., Lilley, M. D., Hamelin, C., Bernasconi, S. M., et al. (2016). Fluid composition of the sediment-influenced Loki’s Castle vent field at the ultra-slow spreading Arctic Mid-Ocean Ridge. Geochimica et Cosmochimica Acta, 187, 156–178. https://doi.org/10.1016/j.gca.2016.05.017
Beretta, F. S., &Marinho, A. (2015). The impacts of slope angle approximations on open pit mining production scheduling, 11.
Blaauw, F. J. J., &Trevarthen, N. C. D. (1987). Mineral Resource Management: An Overview of an Integrated Graphics Based System. In Proceedings of the Twentieth International Symposium on the Application of Computers and Mathematics in the Mineral Industries (Vol. 1, pp. 255–264). Presented at the APCOM 87, Johannesburg: SAIMM. http://www.saimm.co.za/Conferences/Apcom87Mining/255-Blaauw.pdf
Campos, P. H. A., Arroyo, C. E., & Morales, N. (2018). Application of optimized models through direct block scheduling in traditional mine planning, 118, 6.
Camus, J. P. (2002). Management of mineral resources: creating value in the mining business. Littleton, Colo: Society for Mining, Metallurgy, and Exploration.
Camus, J. P. (2015). Management of mineral resources, 9.
Chilès, J. P., &Delfiner, P. (2012). Geostatistics: Modeling Spatial Uncertainty (Vol. 713). Wiley.
Darling, P. (Ed.). (2011). Sme Mining Engineering Handbook. Society for Mining Metallurgy.
de Sá, V. R., Koike, K., Goto, T., Nozaki, T., Takaya, Y., & Yamasaki, T. (2020). A Combination of Geostatistical Methods and Principal Components Analysis for Detection of Mineralized Zones in Seafloor Hydrothermal Systems. Natural Resources Research. https://doi.org/10.1007/s11053-020-09705-4
de Sá, V. R., Koike, K., Goto, T., Nozaki, T., Takaya, Y., & Yamasaki, T. (2021). 3D Geostatistical Modeling of Metal Contents and Lithofacies for Mineralization Mechanism Determination of a Seafloor Hydrothermal Deposit in the Middle Okinawa Trough, Izena Hole, Ore Geology Reviews, 104194. https://doi.org/10.1016/j.oregeorev.2021.104194
Eberhardt, E. (2012). The Hoek–Brown Failure Criterion. Rock Mechanics and Rock Engineering, 45(6), 981–988. https://doi.org/10.1007/s00603-012-0276-4
Emery, X. (2004). Testing the correctness of the sequential algorithm for simulating Gaussian random fields. Stochastic Environmental Research and Risk Assessment, 18(6), 401–413. https://doi.org/10.1007/s00477-004-0211-7
Fuerstenau, M. C., Jameson, G. J., & Yoon, R.-H. (Eds.). (2007). Froth flotation: a century of innovation. Littleton, Colo: Society for Mining, Metallurgy, and Exploration.
Gallant, R. M., & Von Damm, K. L. (2006). Geochemical controls on hydrothermal fluids from the Kairei and Edmond Vent Fields, 23°-25°S, Central Indian Ridge: Controls on hydrothermal fluids. Geochemistry, Geophysics, Geosystems, 7(6), n/a-n/a. https://doi.org/10.1029/2005GC001067
Galley, A. G., Hannington, M. D., &Jonasson, I. R. (2007). Volcanogenic Massive Sulphide deposits. In Mineral Deposits of Canada: A Synthesis of Major Deposit-Types, District Metallogeny, the Evolution of Geological Provinces, and Exploration Methods (Vol. 5, pp. 141–161). Geological Association of Canada, Mineral Deposits Division.
Gamo, T., Chiba, H., Yamanaka, T., Okudaira, T., Hashimoto, J., Tsuchida, S., et al. (2001). Chemical characteristics of newly discovered black smoker fluids and associated hydrothermal plumes at the Rodriguez Triple Junction, Central Indian Ridge. Earth and Planetary Science Letters, 193, 371–379.
Goovaerts, P. (1997). Geostatistics for Natural Resources Evaluation. Oxford, New York: Oxford University Press.
Graber, S., Petersen, S., Yeo, I., Szitkar, F., Klischies, M., Jamieson, J., et al. (2020). Structural Control, Evolution, and Accumulation Rates of Massive Sulfides in the TAG Hydrothermal Field. Geochemistry, Geophysics, Geosystems, 21(9). https://doi.org/10.1029/2020GC009185
Grant, H. L. J., Hannington, M. D., Petersen, S., Frische, M., & Fuchs, S. H. (2018). Constraints on the behavior of trace elements in the actively-forming TAG deposit, Mid-Atlantic Ridge, based on LA-ICP-MS analyses of pyrite. Chemical Geology, 498, 45–71. https://doi.org/10.1016/j.chemgeo.2018.08.019
GRID Arendal. (2014). Deep sea mining - Example of a sea-floor massive sulphide mining system and related sources of potential environmental impact. https://www.grida.no/resources/8156. Accessed 7 January 2015
Han, Y., Gonnella, G., Adam, N., Schippers, A., Burkhardt, L., Kurtz, S., et al. (2018). Hydrothermal chimneys host habitat-specific microbial communities: analogues for studying the possible impact of mining seafloor massive sulfide deposits. Scientific Reports, 8(1), 10386. https://doi.org/10.1038/s41598-018-28613-5
Hannington, M. D., Galley, A. G., Herzig, P. M., & Petersen, S. (1998). Comparison of The Tag Mound and Stockwork Complex with Cyprus-Type Massive Sulfide Deposits. In P. M. Herzig, S. E. Humphris, D. J. Miller, & R. A. Zierenberg (Eds.), Proceedings of the Ocean Drilling Program, 158 Scientific Results (Vol. 158). Ocean Drilling Program. https://doi.org/10.2973/odp.proc.sr.158.1998
Hartman, H. L., Mutmansky, J. M., (2002). Introductory mining engineering, 2nd ed. ed. J. Wiley, Hoboken, N. J.
Haugen, S. (2015). Fra separate fagdisipliner til integrert mineralressursforvaltning i bergindustrien. Mineralproduksjon, 6, 19–38.
Herzig, P. M., Humphris, S. E., Miller, D. J., & Zierenberg, R. A. (Eds.). (1998a). Data report: Sulfide textures in the active tag massive sulfide deposit, 26°N, mid-atlantic ridge (Vol. 158). Ocean Drilling Program. https://doi.org/10.2973/odp.proc.sr.158.1998
Herzig, P. M., Humphris, S. E., Miller, D. J., & Zierenberg, R. A. (Eds.). (1998b). Documenting Textures And Mineral Abundances In Minicores From The Tag Active Hydrothermal Mound Using X-Ray Computed Tomography (Vol. 158). Ocean Drilling Program. https://doi.org/10.2973/odp.proc.sr.158.1998
Hoek, E. (1968). Brittle Fracture of Rock. In K. G. Stagg & O. C. Zienkiewicz (Eds.), Rock Mechanics in Engineering Practice (pp. 99–124). London: J. Wiley.
Humphris, S. E., Herzig, P. M., Miller, D. J., Alt, J. C., Becker, K., Brown, D., et al. (1995). The internal structure of an active sea-floor massive sulphide deposit. Nature, 377(6551), 713–716. https://doi.org/10.1038/377713a0
Ishibashi, J., Ikegami, F., Tsuji, T., & Urabe, T. (2015). Hydrothermal Activity in the Okinawa Trough Back-Arc Basin: Geological Background and Hydrothermal Mineralization. In J. Ishibashi, K. Okino, & M. Sunamura (Eds.), Subseafloor Biosphere Linked to Hydrothermal Systems: TAIGA Concept (pp. 337–359). Tokyo: Springer Japan. https://doi.org/10.1007/978-4-431-54865-2_27
Jankowski, P., Heymann, E., Chwastiak, P., See, A., Munro, P., & Lipton, I. (2010). Offshore Production System Definition and Cost Study (No. SL01-NSG-XSR-RPT-7105–001) (p. 275).
Johnson, T. B. (1968). OPTIMUM OPEN PIT MINE PRODUCTION SCHEDULING: Fort Belvoir, VA: Defense Technical Information Center. https://doi.org/10.21236/AD0672094
JORC. (2012). Australasian Code for Reporting of Exploration Results, Mineral Resources and Ore Reserves. Joint Ore Reserves Committee: The Australasian Institute of Mining and Metallurgy, Australian Institute of Geoscientists and Minerals Council of Australia. http://www.jorc.org/docs/JORC_code_2012.pdf
Kane, K. A., & Hayes, D. E. (1992). Tectonic corridors in the south Atlantic: Evidence for long-lived mid-ocean ridge segmentation. Journal of Geophysical Research, 97(B12), 14.
Kowalczuk, P. B., Manaig, D. O., Drivenes, K., Snook, B., Aasly, K., &Kleiv, R. A. (2018). Galvanic Leaching of Seafloor Massive Sulphides Using MnO2 in H2SO4-NaCl Media. Minerals, 8(6), 235. https://doi.org/10.3390/min8060235
Kowalczuk, P. B., Bouzahzah, H., Kleiv, R. A., & Aasly, K. (2019). Simultaneous Leaching of Seafloor Massive Sulfides and Polymetallic Nodules. Minerals, 9(8), 482. https://doi.org/10.3390/min9080482
Kumagai, H., Nakamura, K., Toki, T., Morishita, T., Okino, K., Ishibashi, J.-I., et al. (2008). Geological background of the Kairei and Edmond hydrothermal fields along the Central Indian Ridge: Implications of their vent fluids’ distinct chemistry. Geofluids, 8(4), 239–251. https://doi.org/10.1111/j.1468-8123.2008.00223.x
Lerchs, H., & Grossmann, F. (1965). Optimum design of open-pit mines. Canadian Mining Metallurgical Bulletin, 58, 17–24.
Lesage, M. (2020). A framework for evaluating deep sea mining systems for seafloor massive sulphides deposits. Norwegian University of Science and Technology.
Lesage, M., Juliani, C., & Ellefmo, S. (2018). Economic Block Model Development for Mining Seafloor Massive Sulfides. Minerals, 8(10), 468. https://doi.org/10.3390/min8100468
Lim, A., Brönner, M., Johansen, S. E., & Dumais, M. (2019). Hydrothermal Activity at the Ultraslow-Spreading Mohns Ridge: New Insights From Near-Seafloor Magnetics. Geochemistry, Geophysics, Geosystems, 20(12), 5691–5709. https://doi.org/10.1029/2019GC008439
Lipton, I. (2012). Mineral resource estimate. Solwara Project, Bismarck Sea, PNG (No. SRK Project Number NAT002) (p. 240).
Lipton, I., Gleeson, E., & Munro, P. (2018). Preliminary Economic Assessment of the Solwara Project, Bismarck Sea, PNG (Technical Report compiled under NI 43-101 No. AMC Project 317045) (p. 274).
Little, J., Nehring, M., &Topal, E. (2008). A New Mixed-Integer Programming Model for Mine Production Scheduling Optimisation in Sublevel Stope Mining, 17.
Ludvigsen, M., Aasly, K., Ellefmo, S., Hilario, A., Ramirez-Llodra, E., Søreide, F., et al. (2016). MarMine Cruise report Arctic Mid-Ocean Ridge (AMOR) 15.08.2016 – 05.09.2016 (No. 1) (p. 120). Trondheim: NTNU.
Ludwig, R., Iturrino, G. J., & Rona, P. A. (1998). Seismic Velocity–Porosity Relationship of Sulfide, Sulfate, And Basalt Samples From The Tag Hydrothermal Mound. In Proceedings of the Ocean Drilling Program - 158 (Vol. 158). Ocean Drilling Program. https://doi.org/10.2973/odp.proc.sr.158.1998
Macfarlane, A. S. (2006). Establishing a new metric for mineral resource management. The Journal of The South African Institute of Mining and Metallurgy, 106, 187–198.
Marinos, V. (2019). A revised, geotechnical classification GSI system for tectonically disturbed heterogeneous rock masses, such as flysch. Bulletin of Engineering Geology and the Environment, 78(2), 899–912. https://doi.org/10.1007/s10064-017-1151-z
McCarthy, P. L. (2015). Integrated Mining and Metallurgical Planning and Operation, 11.
Mining.com. (2021a, March 19). Supply squeeze drags copper treatment charges below $20 a tonne. https://www.mining.com/web/supply-squeeze-drags-copper-treatment-charges-below-20-a-tonne/?utm_source=Daily_Digest&utm_medium=email&utm_campaign=MNG-DIGESTS&utm_content=supply-squeeze-drags-copper-treatment-charges-below-20-a-tonne. Accessed 26 May 2021
Mining.com. (2021b, April 19). Copper price rallies toward nine-year high on increased demand. https://www.mining.com/copper-price-rallies-toward-nine-year-highs-amid-increased-demand/?utm_source=Daily_Digest&utm_medium=email&utm_campaign=MNG-DIGESTS&utm_content=copper-price-rallies-toward-nineyear-high-on-increased-demand
MiningMath. (2020, February 7). Online tutorial. MiningMath. https://miningmath.com/course/online-tutorial/. Accessed 7 February 2020
Montiel, L., &Dimitrakopoulos, R. (2017). A heuristic approach for the stochastic optimization of mine production schedules. Journal of Heuristics, 23(5), 397–415. https://doi.org/10.1007/s10732-017-9349-6
Morales, N., Seguel, S., Cáceres, A., Jélvez, E., &Alarcón, M. (2019). Incorporation of Geometallurgical Attributes and Geological Uncertainty into Long-Term Open-Pit Mine Planning. Minerals, 9(2), 108. https://doi.org/10.3390/min9020108
Murton, B. J., Lehrmann, B., Dutrieux, A. M., Martins, S., de la Iglesia, A. G., Stobbs, I. J., et al. (2019). Geological fate of seafloor massive sulphides at the TAG hydrothermal field (Mid-Atlantic Ridge). Ore Geology Reviews, 107, 903–925. https://doi.org/10.1016/j.oregeorev.2019.03.005
Ota, R. R. M., & Martinez, L. A. T. (2017). SimSched Direct Block Scheduler: A new practical algorithm for the open pit mine production scheduling problem (Vol. 38, p. 8). Presented at the APCOM, Golden, CO USA.
Pedersen, R. B., Rapp, H. T., Thorseth, I. H., Lilley, M. D., Barriga, F. J. A. S., Baumberger, T., et al. (2010a). Discovery of a black smoker vent field and vent fauna at the Arctic Mid-Ocean Ridge. Nature Communications, 1(1), 126. https://doi.org/10.1038/ncomms1124
Pedersen, R. B., Thorseth, I. H., Nygård, T. E., Lilley, M. D., & Kelley, D. S. (2010b). Hydrothermal activity at the Arctic mid-ocean ridges. In P. A. Rona, C. W. Devey, J. Dyment, & B. J. Murton (Eds.), Geophysical Monograph Series (Vol. 188, pp. 67–89). Washington, D. C.: American Geophysical Union. https://doi.org/10.1029/2008GM000783
Pirajno, F. (2009). Hydrothermal Processes and Mineral Systems. Dordrecht: Springer Netherlands. https://doi.org/10.1007/978-1-4020-8613-7
Rahmanpour, M., &Osanloo, M. (2014). Determining the Most Effective Factors on Open Pit Mine Plans and Their Interactions. In Mine Planning and Equipment Selection (pp. 25–35). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-02678-7
Reistad, M., Breivik, Ø., Haakenstad, H., Aarnes, O. J., Furevik, B. R., &Bidlot, J.-R. (2011). A high-resolution hindcast of wind and waves for the North Sea, the Norwegian Sea, and the Barents Sea. Journal of Geophysical Research, 116(C5), C05019. https://doi.org/10.1029/2010JC006402
Remy, N., Boucher, A., & Wu, J. (2021, February 24). SGeMS - Stanford Geostatistical Modeling Software. http://sgems.sourceforge.net/. Accessed 24 February 2021
Samavati, M., Essam, D., Nehring, M., &Sarker, R. (2017). A local branching heuristic for the open pit mine production scheduling problem. European Journal of Operational Research, 257(1), 261–271. https://doi.org/10.1016/j.ejor.2016.07.004
Sayadi, A. R., Fathianpor, N., & Mousavi, A. A. (2011). Open pit optimization in 3D using a new artificial neural network. Archives of Mining Sciences, 56(3), 389–403.
Schlesinger, M. E., & Biswas, A. K. (Eds.). (2011). Extractive metallurgy of copper (5th ed.). Amsterdam; Boston: Elsevier.
Seequent. (2021, February 24). Leapfrog 3D Geo. https://www.seequent.com/products-solutions/leapfrog-geo/. Accessed 24 February 2021
Singer, D. A. (2014). Base and precious metal resources in seafloor massive sulfide deposits. Ore Geology Reviews, 59, 66–72. https://doi.org/10.1016/j.oregeorev.2013.11.008
Snook, B., Drivenes, K., Rollinson, G. K., & Aasly, K. (2018). Characterisation of Mineralised Material from the Loki’s Castle Hydrothermal Vent on the Mohn’s Ridge. Minerals, 8(12), 576. https://doi.org/10.3390/min8120576
Snowdon, N. (2021, April). Copper: The path to record pricing.
Souza, M. J. F., Coelho, I. M., Ribas, S., Santos, H. G., & Merschmann, L. H. C. (2010). A hybrid heuristic algorithm for the open-pit-mining operational planning problem. European Journal of Operational Research, 207(2), 1041–1051. https://doi.org/10.1016/j.ejor.2010.05.031
Souza, F. R., Burgarelli, H. R., Nader, A. S., Ortiz, C. E. A., Chaves, L. S., Carvalho, L. A., et al. (2018). Direct block scheduling technology: Analysis of Avidity. REM - International Engineering Journal, 71(1), 97–104. https://doi.org/10.1590/0370-44672017710129
Spagnoli, G., Rongau, J., Denegre, J., Miedema, S. A., & Weixler, L. (2016a). A Novel Mining Approach for Seafloor Massive Sulfide Deposits. In Day 2 Tue, May 03, 2016 (p. D021S028R002). Presented at the Offshore Technology Conference, Houston, Texas, USA: OTC. https://doi.org/10.4043/26870-MS
Spagnoli, Giovanni, Miedema, S. A., Herrmann, C., Rongau, J., Weixler, L., & Denegre, J. (2016b). Preliminary Design of a Trench Cutter System for Deep-Sea Mining Applications Under Hyperbaric Conditions. IEEE Journal of Oceanic Engineering, 41(4), 930–943. https://doi.org/10.1109/JOE.2015.2497884
Tenzer, R., &Gladkikh, V. (2014). Assessment of Density Variations of Marine Sediments with Ocean and Sediment Depths. The Scientific World Journal, 2014, 1–9. https://doi.org/10.1155/2014/823296
Wang, Y., Han, X., Zhou, Y., Qiu, Z., Yu, X., Petersen, S., et al. (2021). The Daxi Vent Field: An active mafic-hosted hydrothermal system at a non-transform offset on the slow-spreading Carlsberg Ridge, 6°48′N. Ore Geology Reviews, 129, 103888. https://doi.org/10.1016/j.oregeorev.2020.103888
Weixler, L. (2018, September 5). Discontinuous Ore Transport from the Deep Sea: Chances and Challenges. Presented at the NTNU Ocean Week, Trondheim.
Wellmer, F.-W., Dalheimer, M., & Wagner, M. (2008). Economic evaluations in exploration (2nd ed.). Berlin; New York: Springer-Verlag.
Wills, B., Finch, J., & Safari, O. M. C. (2015). Wills’ Mineral Processing Technology, 8th Edition. https://www.safaribooksonline.com/complete/auth0oauth2/&state=/library/view//9780080970547/?ar. Accessed 4 May 2021
Yoshizumi, R., Miyoshi, Y., & Ishibashi, J. (2015). The Characteristics of the Seafloor Massive Sulfide Deposits at the Hakurei Site in the Izena Hole, the Middle Okinawa Trough. In J. Ishibashi, K. Okino, & M. Sunamura (Eds.), Subseafloor Biosphere Linked to Hydrothermal Systems: TAIGA Concept (pp. 561–565). Tokyo: Springer Japan. https://doi.org/10.1007/978-4-431-54865-2_43
Acknowledgments
Although only one author is listed, many researchers and co-workers have contributed with bits and pieces. I would therefore like to acknowledge Maxime Lesage for proofreading and for valuable discussions on the mining system and its characteristics, Kurt Aasly, Rolf Arne Kleiv, and Przemyslaw B. Kowalczuk for valuable discussions on mineralogical and textural characteristics and its link to processing performance and technologies, and Hakan Basarir for valuable contributions on overall slope stability. Last, but not at least, I would like to acknowledge Sebastian Volkmann and Micah Nehring for proofreading and discussions on various aspects of this contribution.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Ellefmo, S.L. (2022). Conceptual 3D Modeling and Direct Block Scheduling of a Massive Seafloor Sulfide Occurrence. In: Sharma, R. (eds) Perspectives on Deep-Sea Mining. Springer, Cham. https://doi.org/10.1007/978-3-030-87982-2_16
Download citation
DOI: https://doi.org/10.1007/978-3-030-87982-2_16
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-87981-5
Online ISBN: 978-3-030-87982-2
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)