Composite length is one of the most consequential and least-discussed decisions in resource estimation. Here's the field-tested framework for picking the right one.
80% of resource model errors start with bad collar, survey, or assay data. Here's the 6-step QA checklist that catches problems before they cost you a feasibility study.
Top-cuts are one of the most consequential and least-defended decisions in gold resource estimation. Here are three methods, when to apply them, and when capping is the wrong answer.
Variograms without the equations. A field-first walkthrough of sill, range, nugget, anisotropy, and how to actually read an experimental variogram before you fit a model.