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所在平台: Udemy |
课程主页: https://www.udemy.com/course/micromine-block-modelling-course/
课程评论：没有评论
**课程名称：** 高级矿块建模与资源量估算 **课程概述：** 本课程将教授学员如何构建高效的矿块模型，并使用行业领先的矿业软件Micromine来估算矿产资源的品位和储量。这门高级课程将详细介绍资源估算的各个关键步骤，并提供必要的背景知识，解释其背后统计学概念。 课程内容将从**数据统计描述**（均值、中位数、直方图等）开始，然后深入介绍**构建矿块模型**的步骤，包括钻孔取样合成、空白模型创建，以及经典的**反距离加权（IDW）插值**进行估算。最后，课程将根据样本数据的置信度以及估算块与样本数据的接近程度，将矿块模型划分为**测量、指示和推断**三个类别，并汇报每个类别内的矿石品位和储量。 尽管本课程面向有经验的地质学家、矿业工程师或地球科学家的，但其易于理解的教学方法也让**初学者也能轻松学习**。课程承诺对所有课程内容和软件使用问题提供解答，并在必要时添加更多讲座。课程的第二部分将很快推出，届时将深入探讨**地统计学方法和变异函数建模**。
This block modelling course will teach you to create an efficient block model and estimate the grade and tonnage of a mineral resource using one of the best software in the mining industry which is Micromine. This advanced course outlines the main steps needed to perform the estimation and provides background information where needed to explain the underlying statistical concepts. This course Begins by statistically describing the data (mean, median, histograms…), and then we move to the steps required to construct a block model like Drillhole compositing, blank model creation and the classical Inverse Distance Weighted (IDW) interpolation for estimation. Lastly, we will classify the block model into Measured, Indicated, and Inferred categories based on the level of confidence in the assay data and how close the estimated block to the assay data and then report on the ore grade and tonnage within each category. Even that this course might look like it is for experienced geologists, mining engineers, or geoscientists in general it's delivered in an easy to follow methodology where beginners can follow along too. Any questions related to the course subject or the software used will be answered and more lectures will be added if needed. A part 2 of this course will be created soon that will get into geostatistical methods and variogram modelling.
