Articles
Map vectorisation with python
Hi All,
After a while between posts I thought it would be interesting to talk about image classification and its application to scanned geological maps.
GSWA has many many 1:250K and 1:100K maps where the only digital version is a scanned print, which depending on your use case might be ok but for machine learning and targeting leave a little to be desired.
So let’s discuss a few methods of converting these scanned maps into vector datasets or at least a sensible raster representation.
Articles
Extracting historical assay data with tesseract and python
Hi All,
I want to help you solve one of those occasional problematic issues that come up every now and then, extracting historical tabular data from old reports.
Let’s imagine that you’ve aquired a tenement and reading the historical reports it looks like you’re onto something great. But the only historical data that you have available is very old and unfortunately predates the nice digital formats that we have now.
Articles
MWD cavity detection and background rates Part 4
Hi All,
Let’s talk about improving these estimates or how to do a site specific adjustment.
Revisiting the literature I found this paper Álvaro Corral, Álvaro González (2019). Power Law Size Distributions in Geoscience Revisited one could argue (but you won’t argue) that I should use a power law distribution for the cavities instead of an exponential, but that would require two parameters instead of one and it is easier to reason with less parameters at least initially.
Articles
MWD cavity detection and background rates Part 3
Hi All,
In this article we are going to integrate our estimate of background rate of cavities from caliper data we modelled in Part 1 with the likelyhood of detecting a cavity by drillhole spacing we generated in Part 2 .
One of the issues with the simulation modelling estimating the background rates in Part 1 was the estimate of cavity distribution was done for the entire data set. As this is an Iron Ore data set from open file WAMEX data I know from experience that there are more cavities in certain stratigraphic units and alteration zones (hard cap).
Articles
MWD cavity detection and background rates Part 2
Wecome back,
Before integrating the data we generated in part 1 we are going to estimate the chance of intersecting a cavity on a blast pattern for a series of cavity sizes and blast pattern designs.
To start the demonstration we build a baseline drill pattern of 5x7m with a fixed 0.27m hole diameter that we will keep fixed for all simulations.
Now that we have a grid, we add a cavity of 1m diameter.
Articles
MWD cavity detection and background rates Part 1
Hi All,
Here is the first in a series of posts covering a bit of ground on cavity detection. From estimating the proportion of cavities in exploration drill holes to their chance of detection with MWD on a blast pattern.
First off we define a cavity, for the sake of an exploration drill hole a simple definition might be a caliper measurement that flatlines at the maximum value.
Looking over the histogram we can see a few points of interest: