Mining 4 mining
Ask us our white paper
In a recent report about the trends in the mining industry, Deloitte pointed out that this industry benefits now from a new generation of data analytics dashboard and AI visualization tools.
But discussing with the professionals, it appeared that a main bottleneck remains to be solved: The access to the legacy data locked in unstructured documents to populate the future exploration models.
One of our mining customers has estimated that they own around 4 million of scan reports related to drill holes and geophysical surveys done in the last five decades. Using some of the data contained in these files, data managers and domain experts have already built corporate databases to ease the access to the key legacy data they need. But all of these professionals admit that their work is not exhaustive and that most of the information necessary to build efficient exploration models remains locked in the legacy reports.
Our customer has a special interest in recovering the assay data frequently done on drill hole rock chips or cores and published in drill holes related reports.
Assay tables
The assay data measurements are key to evaluate the mining potential a claim or a lease. Accessing and interpreting former laboratory measurements published in legacy documents makes the claim analysis more economical and environmentally more friendly by reducing the number of new holes to be drilled (or trenches to be dug) to confirm the company interest on the claim.
Drill hole and trench related documents contain different types of assay reports. They may include a copy of the report done by the assay laboratory (an assay certificate) or a histogram derived from the assay certificate, or just a copy of some values of the laboratory assay report.
This copy may be printed or handwritten. The priority assigned to our models was to capture the assay certificates published as table of values. By downloading the white paper, you will learn about the process and tools implemented to achieve this challenge.