https://youtu.be/FwMWkjLlZa4

https://www.youtube.com/@valls_geoconsultant?sub_confirmation=1 For more videos about geology, geochemistry, AI, and much more, please visit and subscribe for free here: Golden droplets- https://shorturl.at/fetV1 Geovoices- https://tinyurl.com/m23pp4pb News about geology- https://tinyurl.com/3979urhy Geo News Radio: https://shorturl.at/MwdSK Mastering mineral resource estimation and mineral reserves is essential for every junior and senior geologist to ensure compliance with global reporting standards like NI 43-101 and the JORC Code. In this video, we explore how improper geological modeling, poor data validation, and incorrect geostatistics can lead to a failed resource report that ignores critical CIM definition standards. One of the primary errors killing your reports is the neglect of proper exploratory data analysis and declustering, which are vital for mitigating spatial bias in heterogeneous deposits (Dumakor-Dupey & Arya, 2021). Furthermore, many prospectors and earth science students rely too heavily on traditional geometric methods like inverse distance weighting without utilizing the "Best Linear Unbiased Estimator" potential of ordinary kriging to minimize error variance (Rossi & Deutsch, 2014). We also examine the lack of robust variography, where failure to account for anisotropy or nugget effects results in biased grade distributions (Zarqua, 2014). Integrating machine learning and artificial intelligence can modernize your workflow, yet many geoscientists struggle with the transition from deterministic smoothing to stochastic sequential Gaussian simulation, which is required for accurate uncertainty quantification and risk analysis in complex formations (MacKie et al., 2023). Finally, we address reporting standard failures where practitioners fail to clearly categorize resources into measured, indicated, and inferred classes or neglect the application of necessary modifying factors for reserve conversion (CIM, 2004). By utilizing modern tools such as GeostatsPy or GemPy and adhering to the CRIRSCO international template, you can avoid the "if not, why not" pitfalls that ruin professional credibility (Pyrcz, 2024). The bridge between Academy and Industry! P. Geo. Ricardo A Valls, M. Sc. and Geo Gadfly Valls Geoconsultant ORCID ID- https://orcid.org/0000-0002-5421-0914 Scopus Author ID: 7003369619/35335510700 ResearcherID: S-6604-2018 If you like this content, please "buy me a coffee" https://www.buymeacoffee.com/goldendroplets #valls_geoconsultant #mineralresourceestimation #geology #NI43101