首页> 外文期刊>Ore Geology Reviews: Journal for Comprehensive Studies of Ore Genesis and Ore Exploration >Resource assessment of undiscovered seafloor massive sulfide deposits on an Arctic mid-ocean ridge: Application of grade and tonnage models
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Resource assessment of undiscovered seafloor massive sulfide deposits on an Arctic mid-ocean ridge: Application of grade and tonnage models

机译:北冰中海洋山脊上未发现的海底硫化物沉积物的资源评估:等级和吨位模型的应用

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摘要

Norway has started ongoing initiatives related to deep sea mining. These include the evaluation of mineral resources within its sovereign territorial waters on the deep ocean floor of the Arctic region, i.e. the Mohns Ridge (71-73 degrees N). Among the variety of possible seabed resources, seafloor massive sulfides (SMS) attract particular interest. Owing to the significant development potential and the general lack of knowledge of the SMS deposits, the present study aims at assessing mineral resources (i.e., Cu, Zn, Au and Ag) from a number of undiscovered sulfide deposits with the help of a revised model for mafic-hosted volcanogenic massive sulfide (VMS) deposits that adequately corresponds to geological settings of slow-spreading ridges. Application of the model requires a priori knowledge of the seafloor terrain to depict favorable geologic environments for the occurrence of SMS deposits. In such context, estimates are conducted for the easily accessible volcanically active parts of the ridge where 11 undiscovered deposits are expected. In these areas, total metal endowments are calculated to be on average 447,000 tonnes using a Monte Carlo simulation that combines the probabilistic estimates of number of undiscovered deposits with the grade and tonnage models. Estimates of in-place metal resources are generated in cumulative distribution form to present expected amount of undiscovered metals at 90% confidence intervals.
机译:挪威开始持续与深海采矿有关的举措。其中包括在北极地区深海地板上的其主权领域水域内的矿产资源评估,即Mohns Ridge(71-73度N)。在各种可能的海底资源中,海底硫化物(SMS)吸引了特别的兴趣。由于发展潜力显着和普遍缺乏SMS沉积物,本研究旨在通过修订模型评估来自许多未被发现的硫化物沉积物的矿产资源(即Cu,Zn,Au和Ag)对于MAFIC-Hosted的火山岩大规模硫化物(VM)沉积物,可充分对应于缓慢扩散脊的地质环境。该模型的应用需要先验的海底地形知识,以描述用于发生短信沉积物的有利地质环境。在这种情况下,估计是为了预期11个未被发现的存款的山脊的易于接近的火山活跃部分。在这些领域,使用蒙特卡罗模拟计算总金属禀赋平均为447,000吨,该蒙特卡罗模拟将未被发现的沉积物数量的概率估计与等级和吨位模型相结合。累积分布形式产生就地金属资源的估计,以90%的置信区间以90%的置信度为预期的金属量。

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