| 张顺强,林元鑫,张雄,谢盛波.多重指标克里格法的原理及在资源估算中的运用[J].矿产勘查,2026,17(S1):220-230 |
| 多重指标克里格法的原理及在资源估算中的运用 |
| The principles of multiple-indicator kriging and its use in resource estimation |
| 投稿时间：2026-03-11 修订日期：2026-05-15 |
| DOI：10.20008/j.kckc.2026S1025 |
| 中文关键词: 资源估算 多重指标克里格法 地质统计学 |
| 英文关键词: resource estimation multiple indicator kriging （MIK） geostatistics |
| 基金项目:本文受诺顿金田有限公司内部资源评价与勘查研究项目“资源估算与多重指示克里金方法应用研究”资助。 |
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| 中文摘要: |
| 为解决传统克里格法在高变异性、强偏态金矿床资源估算中的适用性不足问题，本文以西澳卡尔古利地区某造山型金矿床为研究对象，开展多重指标克里格法（MIK）应用研究。基于钻探、地质及生产资料，建立矿化域模型，通过指示变换、阈值划分及变异函数建模，实现区块品位的概率估算。结果表明，在0.3 g/t边界品位条件下，矿区资源量为3571万t，平均品位0.57 g/t，金金属量20.23 t；探采对比结果显示，矿石量、品位及金属量误差均小于10%。研究表明，MIK方法无需对数据进行正态化或特高值处理，能够有效保持原始数据的统计特征，反映复杂矿体的品位分布规律，适用于空间连续性差、品位变化剧烈的金矿床资源估算，可为同类矿床的资源建模与采矿设计决策提供可靠的非参数地质统计学解决方案。 |
| 英文摘要: |
| To address the limitations of traditional kriging methods in resource estimation for gold deposits with high variability and strong skewness， this study applies the Multiple Indicator Kriging （MIK） method to an orogenic gold deposit in the Kalgoorlie region of Western Australia. Based on drilling， geological， and production data， a mineralized domain model was established. Through indicator transformation， threshold delineation， and variogram modeling， block grade probabilities were estimated. The results show that， at a cutoff grade of 0.3 g/t， the mining area has a resource of 35.71 million tonnes， an average grade of 0.57 g/t， and a gold metal content of 20.23 tonnes. A comparison between estimated and actual production data indicates that the errors in ore tonnage， grade， and metal content are all less than 10%. The study demonstrates that the MIK method does not require data normalization or the treatment of extreme grades， effectively preserves the statistical characteristics of the original data， and reflects the grade distribution patterns of complex ore bodies. It is suitable for resource estimation of gold deposits with poor spatial continuity and highly variable grade distributions， providing a reliable non-parametric geostatistical solution for resource modeling and mining design decisions in similar deposit types. |
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