2018
DOI: 10.1016/j.oregeorev.2018.04.003
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Probabilistic estimates of permissive areas for undiscovered seafloor massive sulfide deposits on an Arctic Mid-Ocean Ridge

Abstract: Norway explores its seabed mining potential including exploration studies on seafloor massive sulfides (SMS) at the outermost parts of its continental shelf, the Mohn's Ridge. Owing to the significant development potential and the general lack of knowledge of the SMS deposits, the evaluation of exploration targets and resource abundance are more than ever necessary. Given current exploration status, this study proposes to (1) develop a mineral prospectivity map (MPM) indicating favorable geologic environments … Show more

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Cited by 19 publications
(13 citation statements)
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“…High-resolution bathymetric mapping by autonomous underwater vehicles (AUVs) recently has been used to discover numerous exposed inactive sulfides, even in regions that had been already been extensively explored and mapped (Jamieson et al, 2014;Petersen et al, 2017). Investment is also being made in detailed geospatial analysis of geological features to develop probabilistic maps of favorable prospective regions of mid-ocean ridges (Ren et al, 2016;Juliani and Ellefmo, 2018). New seismic (Asakawa et al, 2018) and electromagnetic (Schwalenberg et al, 2016;Müller et al, 2018;Safipour et al, 2018) tools are being developed and tested to detect sulfides in the absence of physico-chemical water column anomalies, even when buried beneath 10's of meters of sediment.…”
Section: Prospecting For Potential Sulfide Ore Depositsmentioning
confidence: 99%
“…High-resolution bathymetric mapping by autonomous underwater vehicles (AUVs) recently has been used to discover numerous exposed inactive sulfides, even in regions that had been already been extensively explored and mapped (Jamieson et al, 2014;Petersen et al, 2017). Investment is also being made in detailed geospatial analysis of geological features to develop probabilistic maps of favorable prospective regions of mid-ocean ridges (Ren et al, 2016;Juliani and Ellefmo, 2018). New seismic (Asakawa et al, 2018) and electromagnetic (Schwalenberg et al, 2016;Müller et al, 2018;Safipour et al, 2018) tools are being developed and tested to detect sulfides in the absence of physico-chemical water column anomalies, even when buried beneath 10's of meters of sediment.…”
Section: Prospecting For Potential Sulfide Ore Depositsmentioning
confidence: 99%
“…Specifically, the Mohns Ridge has become an important subject of investigation where a few identified SMS occurrences occur in various localities (Pedersen et al, 2010). Current analysis of resource potential along this ridge (Juliani and Ellefmo, 2018) established that several mineral deposits (11 expected in neovolcanic zones) remain to be found. However, the uncertainty about their tonnages and grades is largely due to the lack of knowledge about SMS orebodies.…”
Section: Introductionmentioning
confidence: 99%
“…It is common knowledge that VMS deposits occur in clusters or within districts (e.g., [6]), and evidence is in place for additional, promising mineralised sites along the AMOR [26]. Despite studies suggesting that ultraslow spreading ridges should have a significantly reduced density of hydrothermal plumes due to a reduced magma budget (e.g., [53]), discoveries such as Loki's Castle and the TAG demonstrate that fast spreading ridges are not exclusively favourable for sites of mineralisation, and that exploration targets must be diversified.…”
Section: Considerations For Possible Exploration Strategiesmentioning
confidence: 99%
“…The importance of long lived detachment faults for hydrothermal activity at slow spreading ridges has been stated previously [8,[23][24][25]; the normal faults which define the margin of the AVR and form the deep rifting along the AVR crest likely act as fluid pathways, therefore controlling venting occurrences [22]. A more regional setting of this section of the AMOR has been developed as a case study [26]. Location of the Loki's Castle vent, with reference to other discoveries, after data from [8,27,28].…”
Section: Introductionmentioning
confidence: 98%