Comparative analysis of discrete fracture network models derived from borehole versus shaft scale discontinuity data for improved mine optimization and risk minimization

随着对矿产资源的需求不断增加，加上近地表矿藏的枯竭，许多采矿作业正在计划从地面大规模开采过渡到地下大规模开采，以开采更深层次的资源。正在考虑的方法(块/盘崩落)，由于其有利的经济、高吨位和安全而得到推广。然而，这些方法需要前期大量的地下开发，因此在生产和收入之前需要进行大量的资本投资。鉴于从更深处获取数据的成本更高和挑战更大，这些项目的可行性将基于更有限的数据，这将带来与预期岩体条件和采矿反应有关的重大不确定性和地质风险。这些将挑战该行业的集体经验，引发关于目前的知识和设计方法是否足够的问题。

With ever-increasing demand for mineral resources coupled with the depletion of near-surface deposits, numerous mining operations are making plans to transition from surface to underground mass mining in order to mine deeper resources. The methods being considered (block/panel caving), are being promoted due to their favourable economics, high tonnages and safety. However, these methods require significant underground development upfront, and therefore major capital investment before production and revenue can be generated. Given the higher costs and increased challenges of acquiring data from greater depths, the feasibility of these projects will be based on more limited data, introducing significant uncertainty and geo-risk with respect to the expected rock mass conditions and response to mining. These will challenge the industry's collective experience, raising questions as to whether present knowledge and design methodologies are sufficient.