...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Ore Geology Reviews: Journal for Comprehensive Studies of Ore Genesis and Ore Exploration >Exploration information systems - A proposal for the future use of GIS in mineral exploration targeting
【24h】

Exploration information systems - A proposal for the future use of GIS in mineral exploration targeting

机译：探索信息系统 - 在矿物勘探目标中未来使用GIS的建议

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The advent of modem data collection and storage technologies has brought about a huge increase in data volumes with both traditional and machine learning tools struggling to effectively handle, manage and analyse the very large data quantities that are now available. The mineral exploration industry is by no means immune to this big data issue. Exploration decision-making has become much more complex in the wake of big data, in particular with respect to questions about how to best manage and use the data to obtain information, generate knowledge and gain insight. One of the ways in which the mineral exploration industry works with big data is by using a geographic information system (GIS). For example, GIS platforms are often used for integration, interrogation and interpretation of diverse geoscience and mineral exploration data with the goal of refining and prioritising known and identifying new targets. Here we (i) briefly discuss the importance of carefully translating conceptual ore deposit models into effective exploration targeting maps, (ii) propose and describe what we term exploration information systems (EIS): a new idea for an information system designed to better integrate the conceptual mineral deposit model (i.e., the critical and constituent processes of the targeted mineral system) with data available to support exploration targeting, and (iii) discuss how best to categorise mineral systems in an EIS as scale-dependent subsystems to form mineral deposits. Our vision for the future use of EIS in exploration targeting is one whereby the mappable ingredients of a targeted mineral system are translated and combined into a set of weighted evidence (or proxy) maps automatically, resulting in an auto-generated mineral prospectivity map and a series of ranked exploration targets. We do not envisage the EIS replacing human input and ingenuity; rather we envisage the EIS as an additional tool in the exploration toolbox and as an intelligence amplifying system in which humans are making use of machines to achieve the best possible results.
机译：Modem数据收集和存储技术的出现带来了数据卷的巨大增加，传统和机器学习工具努力有效处理，管理和分析现在可用的非常大的数据量。矿产勘探行业绝不会对这一大数​​据问题免疫。在大数据之后，勘探决策已经变得更加复杂，特别是关于如何最好地管理和使用数据获取信息的问题，生成知识和洞察力。矿产勘探行业与大数据工作的方式之一是使用地理信息系统（GIS）。例如，GIS平台通常用于各种地球科学和矿物勘探数据的集成，审讯和解释，其目的是完善和确定新目标的优先考虑。在这里，我们简要讨论仔细将概念矿床存款模型仔细翻译成有效的探索目标地图的重要性，（ii）提出并描述了我们的学期探索信息系统（EIS）：旨在更好地整合的信息系统的新想法概念矿物存款模型（即目标矿物系统的临界和成分过程）具有可用于支持勘探目标的数据，（iii）讨论如何将EIS中的矿物系统分类为依赖依赖性子系统以形成矿物沉积物。我们对勘探靶向EIS的未来使用的愿景是一个自动翻译并将目标矿物系统的可用成分自动翻译并组合成一组加权证据（或代理）地图，导致自动生成的矿物前景图和一个排名勘探目标系列。我们不设想欧安联州的人类投入和聪明才智;相反，我们将EIS设想作为探索工具箱中的额外工具，作为智能放大系统，其中人类正在利用机器来实现最佳结果。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号