海底扩张
地质学
钻探
资源(消歧)
深海
地球科学
高分辨率
环境科学
海洋学
遥感
计算机科学
工程类
机械工程
计算机网络
作者
Sven Petersen,Mark D. Hannington,Anne Krätschell
出处
期刊:Responsabilité et environnement
[CAIRN]
日期:2017-01-03
卷期号:N° 85 (1): 14-18
被引量:14
摘要
Manganese nodules, Co-rich crusts, and Seafloor massive Sulfides (SMS) are commonly seen as possible future resources that could potentially add to the global raw materials supply. At present, a proper global assessment of these resources is not possible due to a severe lack of information regarding their size, global distribution, and composition. The sizes of the most prospective areas that need to be explored for a global resource assessment are vast. Future deep-sea minerals exploration has to provide higher-resolution data and at the same time needs to cover large areas of the seafloor in a fast and cost-efficient manner. While nodules and crusts are 2-dimensional occurrences and an assessment of their distribution at the seafloor itself seems sufficient, seafloor massive sulfides are 3-dimensional sites and a proper resource assessment will always require drilling. Here the development of methods to image the subseafloor and to recognize economically interesting sites prior to drilling is of importance.
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