Data Interpretation
As discussed in our first installment, orientation studies should enable the selection of optimum field, laboratory and interpretation procedures. Ideally, these procedures should allow for the clear resolution of significant anomalous patterns, with as little overlap as possible between anomalous…
Read MoreOrientation survey. Of course you *should* know what this term means… you think to yourself… Stop googling for half baked answers and stay tuned this January to our blog, where we are going to break down this term and show…
Read MoreHaven’t conducted a pXRF program in awhile? No worries, this post has you covered… to remind you to never ever forget to calibrate your equipment. Like any geochemical program, you’re also going to need to setup a rigorous QA/QC program…
Read MoreIf you are unaware, hyperspectral data is renown for producing mineral data; biotite, white mica, tourmaline, sulfates, carbonates, Fe-oxides… the list is long and diverse. However, spectral datasets also yield “composition” data, namely crystallinity and wavelength data. In this post…
Read MoreAccurate and consistent mineralogy is one of the fundamental building blocks of exploration. The explorationist talks and dreams about discovery – in order to do this, they must define vectors towards mineralization, while simultaneously de-risking and increasing the net present…
Read MoreIn comparison to their more shiny (and valuable) mineral counterparts, gangue mineralogy tends to be unloved by geologists. In our rush to define grade for market releases, we lose sight of the fact that gangue mineralogy impacts our final product…
Read More“Patience is the art of concealing your impatience.†Guy Kawasaki It would be the dream if every dataset that you come across was ready to go: with (1) no QA/QC required, (2) could be used for an alteration study, lithogeochemistry…
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