Quality and sampling error quantification for gold mineral resource estimation
Author:
Affiliation:
1. Camborne School of Mines, Cornwall, UK and Novo Resources Corporation, Perth, Western Australia
2. MSA Global LLC, Ulaanbaatar, Mongolia
3. KHE Consulting, Copenhagen, Denmark
Publisher
IM Publications Open LLP
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Applying Knowledge-Based and Data-Driven Methods to Improve Ore Grade Control of Blast Hole Drill Cuttings Using Hyperspectral Imaging;Remote Sensing;2024-08-01
2. Evaluation of Coarse Gold-Bearing Conglomerate Mineralisation at Beatons Creek, Pilbara, Western Australia: Sampling for Resource Development and Grade Control;Minerals;2024-03-25
3. CONTROL SAMPLES USING FOR QUALITY ASSURANCE AND CONTROL (QA/QC);Visnyk of Taras Shevchenko National University of Kyiv. Geology;2023
4. Sampling Broken Ore Residues in Underground Gold Workings: Implications for Reconciliation and Lost Revenue;Minerals;2022-05-25
5. Determination of Gold Particle Characteristics for Sampling Protocol Optimisation;Minerals;2021-10-10
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