RIG Scorrier is currently exploring the use of Artificial Intelligence and Machine Learning, with a view to optimise our mineral processing facilities through better interpretation of data. Each of RIG’s processing plants will have multiple data points in both fixed and mobile assets. Each data point will either represent
Waste Steams
Sub 100-Micron metals recovery through MGS system
Fast industrialisation has increased the demand for heavy metals, however high grade ore reserves are dwindling. Therefore, RIG Scorrier is currently researching alternative sources of heavy metals, through the recovery of fine particulates from mining waste streams and excavated soils. Substantial amounts of industrial wastes are being generated annually.
Product Viability Testing for Sub-63-Micron Waste Streams
We are currently investigating the alternative uses of silt produced by our processing operations. Silts are the non-plastic fines, they are inherently unstable in the presence of water and have a tendency to become “quick” when saturated that is, they assume the character of a viscous fluid and can
In Process Bioremediation
RIG Scorrier will be introducing various bio-remediation techniques, to precipitate, reduce or destroy the contamination found in material locate in the Cornwall region. By introducing advanced bio-remediation techniques, we expect to reduce contamination to such a point, it no longer classifies as Non Hazardous or Hazardous and could be