Modeling Combined Geological and Grade Uncertainty: Application of Multiple-Point Simulation at the Apensu Gold Deposit, Ghana
Modeling Combined Geological and Grade Uncertainty: Application of Multiple-Point Simulation at the Apensu Gold Deposit, Ghana
复制标题
DOI：
10.1007/s11004-013-9500-3
复制
发表时间：
2013-11
影响因子：
2.6
通讯作者：
P. Jones;I. Douglas;A. Jewbali
中科院分区：
文献类型：
--
作者：
P. Jones;I. Douglas;A. Jewbali
传统上，在采矿业中，为矿体的品位和地质创建单一模型，所有矿山开发决策都基于此。这些模型提供了一个单一的解释的程度和连续性的矿化包络线的基础上固体和部分解释从相对较宽的间距钻井。品位和地质的固有变化行为不能从单一的估计资源模型中理解。为了解释地质和矿化包层的不确定性，纽蒙特矿业公司使用多点统计（MPS），这是一种新兴的空间模拟框架，可用于生成多个地质现实的数据，这些数据代表显示复杂非线性特征的矿床属性。MPS使用地质学的概念模型（称为训练图像）来推断这些高阶空间关系。MPS算法在加纳构造控制的Apensu金存款的详细应用，证明了MPS框架和文件的效率和有效性的实际复杂性。对Apensu存款的多个实现允许对地质和体积不确定性进行评估，其进一步与品位模拟相结合，以生成对存款的真实不确定性的更完整的描述。
Traditionally within the mining industry, single models for both grade and geology of orebodies are created upon which all mine development decisions are based. These models provide a single interpretation of the extent and continuity of the mineralization envelope based on solids and sections interpreted from relatively widely spaced drilling. The inherent variable behavior of grade and geology cannot be understood from a single estimated resource model. To account for uncertainty in the geology and mineralization envelope, Newmont Mining Corporation uses multiple-point statistics (MPS), an emerging spatial simulation framework, which can be employed to generate multiple, geologically realistic, realizations of data representing attributes of mineral deposits that display complex non-linear features. MPS uses a conceptual model of the geology, termed a training image, to infer these high-order spatial relationships. A detailed application of the MPS algorithm at the structurally controlled Apensu gold deposit, Ghana, demonstrates the practical intricacies of the MPS framework and documents efficiency and effectiveness. Multiple realizations of the Apensu deposit allow for an assessment of the geologic and volumetric uncertainty, which is further combined with grade simulations to generate a more complete picture of the true uncertainty of the deposit.