https://youtu.be/dGAl-f1TNZU

This paper introduces a method using gradients to identify geochemical anomalies, particularly for gold, by analyzing the differences between surrounding samples rather than relying solely on individual sample values. The technique addresses the limitation of geochemistry where low gold values may be misleading due to the source of mineralization being too far away or deep for accurate measurement. By using Excel to process data, the gradient method quickly identifies areas indicative of a true geochemical anomaly. The method involves calculating the gradient between samples and using stacked column graphics to visualize and locate anomalies, and is demonstrated through theoretical models and a real-world case study from a gold target area in Colombia. The study presents three models to illustrate the method. Model I demonstrates a central gold anomaly, while Model II shifts the anomaly to the NW border. Model III applies the gradient method to a stream sediment sampling program in Colombia, using variograms and kriging to generate a matrix of gold results. The gradient analysis identifies prospective targets by examining both North-South and West-East gradients, with further refinement achieved by increasing the gradient to the next two values. The paper concludes that gradients are more informative than individual sample values and that this method, especially when combining original gradients with absolute values, offers a quick and easy way to locate potential geochemical anomalies using Excel. Source: http://dx.doi.org/10.31219/osf.io/jv4k3 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