Technology
In terms of underpinning technology, it is a Scanning Electron Microscope (SEM)-based automated image analyzer, based on FEI’s Quanta platform, and fitted with dual, liquid nitrogen-free (SDD-type) EDS detectors. It is available as either a Tungsten filament or Field Emission Gun (FEG) source system.
Capability
QEMSCAN is a product of record and considered to be one of the most advanced automated analyzers available for minerals, rocks and man-made materials. QEMSCAN uses combinations of Backscattered Electron Intensity and rapidly acquired Electron Induced Secondary X-Ray spectra as the primary methods of mineral identification.
It offers expert-level, petrographic-based, image analysis functionality (e.g. grain size, grain shape analysis, micro-lithotype analysis etc.). The large sample chamber can accommodate up to 14 samples (30mm diameter) at one time. Sample preparation for the QEMSCAN requires that the material to be analyzed is presented to the instrument as a flat, carbon coated surface. The solution has fully customizable measurement modes.
Unique features
History: QEMSCAN (and its predecessor QEM*SEM®) was developed by CSIRO in the late 1970’s, commercialized and registered by Intellection in 2003, and acquired by FEI in 2008.
Mineral Identification: QEMSCAN automatically identifies minerals and phases under the electron beam by comparing the elemental proportions and BSE values derived from rapidly acquired EDS X-ray spectra with a library of reference mineral and phase compositions, known as the Species Identification Protocol (SIP). QEMSCAN is equipped with a SIP editor to define and edit phase identification off-line.
Proprietary Image Analysis Software: QEMSCAN uses iExplorer image analysis software to analyze the resulting data.
Detector Options: QEMSCAN is available only with Bruker EDS systems.
Main Applications
QEMSCAN is a product of record in the oil and gas industry where it is used to provide mineralogical, geological and petrophysical knowledge input to reservoir models. This often leads to an improved understanding of the broader geological model, thus reducing risk and improving chances of extraction. The coal industry is applying QEMSCAN to better understand coal combustion and waste utilization.