In the past decade hand-held spectrometers have gained widespread popularity because they help geologists ‘see’ what their eyes cannot. However, accurate hyperspectral data analysis requires expert interpretation in order to identify minerals correctly. Additionally, hand-held spectrometers can only capture data on limited sample locations selected by the operator.

Historically, core logging has been used as a fundamental tool for documenting and understanding the mineralogy and geology of ore deposits. However, traditional logging is a tool that can be error-prone, slow and incomplete — even skilled geologists can’t see subtle mineralogical differences. Hyperspectral core imaging brings the insight of spectral mineralogy to this task, amongst many other applications.

Hyperspectral Core Imaging System™

The hyperspectral data collected by the Hyperspectral Core Imaging System™ (HCIS), and the image and statistical products derived from this dataset, present many benefits over legacy methods.

  • The HCIS generates full digital image and spectral databases, of the drill sample, that are consistent and objective.
  • Imaging an entire core archive with the HCIS maximizes the value of your drilling expenditure by providing increased mineralogical understanding of ore deposits, resulting in improved geological knowledge.
  • Full image data can highlight changes in alteration assemblages and subtle variations in the composition of individual minerals that are difficult for geologists to see.
  • Full image data allows geologists to spend more time focusing on geological interpretations and less time gathering data.
  • Image data can be shared electronically world-wide allowing expert geologists to collaborate and interrogate the dataset from any corner of the globe.
  • Image-based mineral statistics can be loaded into any database or modeling program.
  • The HCIS captures a non-destructive, non-invasive measurement that involves no radiation, noise, dust or heat.
  • The HCIS can rapidly and accurately collect data from a multitude of types of samples, including
    chip trays from RC drilling.