André Journel joined Stanford University in 1978, and his program grew quickly to include a dozen students from the USA, Canada, Europe, and South Africa. He was instrumental in organizing the Second International Geostatistical Conference (Tahoe ’83), during which 13 papers were presented that can be linked to his group. Out of these 13 papers, 9 were mining-related, with 7 on recoverable reserves, 2 on uncertainty, 2 on conditional simulation, and 3 on nonparametric geostatistics. A significant research effort at the time was therefore directed at change of support, global and local recoveries, and uncertainty, but future trends could also be identified, such as nonparametric geostatistics and conditional simulation. This paper is a practical review of conditional simulation as a tool to improve mineral resource estimation in the areas of uncertainty, classification, and mining selectivity or dilution, based on the authors’ experience. Some practical considerations for conditional simulation are briefly discussed. Four case studies from the early 1990s to the late 2010s are presented to illustrate some solutions and challenges encountered when dealing with real-world commercial projects.

AndréJournel于1978年加入斯坦福大学，他的课程迅速发展，包括来自美国，加拿大，欧洲和南非的十几名学生。他协助组织了第二届国际地统计学会议（Tahoe '83），在此期间提出了13篇可以与他的小组联系的论文。在这13篇论文中，有9篇与采矿有关，其中7篇涉及可采储量，2篇关于不确定性，2篇关于条件模拟，3篇关于非参数地统计学。因此，当时的大量研究工作都针对支持的变化，全球和当地的采收率以及不确定性，但也可以确定未来的趋势，例如非参数地统计和条件模拟。本文是根据作者的经验，对条件模拟的实用评论，作为在不确定性，分类以及采矿选择性或稀释度方面改善矿产资源估算的工具。简要讨论了条件仿真的一些实际考虑。从1990年代初到2010年代后期，进行了四个案例研究，以说明在处理实际商业项目时遇到的一些解决方案和挑战。