Applications for Natural Resources

3D Mineralogy

Understand Your Mineral Like Never Before

Investigate natural resources samples in their true forms, without mechanical alteration by using 3D mineralogy. Understand composition, mineral relationships, and fabric of geological materials, including locked grains.

CT-automated quantitative mineralogy
Volumetric measurements
Streamlined segmentation

Mineralogic 3D for Natural Resources

Mineral Identification

A change in the game of automated mineralogy

The phrase “automated mineralogy” has been synonymous with the use of scanning electron microscopes (SEM) for decades. The classification of minerals using SEM-based energy dispersive spectroscopy (EDS) chemical measurements has been the only method for rapid, automated phase ID in microscopy.

Making full use of the imaging capability of the X-ray microscope, enhanced by DeepRecon noise-reducing deep learning algorithms, Mineralogic 3D automatically classifies the mineralogy of the sample based on attenuation measurements. The ability to classify the mineralogy in tomographic scans is unique and when combined with the morphological measurements of the 3D reconstructed entities allows the calculation of standard and customizable data outputs ding true grain size/shape and mineral association measurements.
Streamlined sample preparation with no polished mounts

Reduce sample runs by eliminating stereological assumptions

Non-destructive to allow for precious samples or correlative workflows
Liberation Analysis for Mining

See 100% of your sample in its truest form

Where 2D automated mineralogy offers liberation based on exposed surfaces or edges, associations based on linear contacts, and modal mineralogy based on phases exposed on the surface of the sample mount, 3D mineralogy measures liberation based on the volume of the grains and their exposure on the surface of the unaltered particle. Associations are based on full mineral surface contacts with other phases, and modal mineralogy accounts for all grains: those exposed on the surface of the particles and those obscured within.

ZEISS Mineralogic 3D applies X-ray microscopy techniques and deep learning algorithms to execute automated mineralogy analyses in 3D that provide particle identification, mineral classification, and data outputs, including liberation and association measurements.
The sample preparation process is greatly simplified, compared to that required for 2D analyses

There are no stereological assumptions as every grain is viewed in full

The time to actionable data is greatly reduced

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Classification of mineralogy in a copper sulfide ore using Mineralogic 3D.

Characterize Mineral Deposits in Meteorites

Quantitative Grain Size/Shape Analysis and Mineral Associations

Challenging-to-image samples such as the Winchcombe meteorite shown here. Carbonaceous chondrite clasts, 44 in total, were identified in the matrix of the Winchcombe meteorite.

Ore Body Characterization

Investigate Your Sample in Its True Form

Phase identification in minerals in 3D using the VersaXRM or Context with DeepRecon Pro. Mineralogic 3D enables investigation of samples in their true form, without mechanical alteration, and see 100% of it. In this image, pyrite is represented by orange, chalcopyrite is purple. The grey rock in the background is gangue, or worthless mineral.

Particle Analysis

Segmentation and Measurement

With ZEISS Mineralogic 3D, you benefit from the application of advanced and flexible machine learning protocols that recognize individual particles even when they are in contact with other particles of the same composition. Particles are then analyzed individually to provide a series of pertinent outputs such as modal mineralogy, volume, porosity, feret dimensional measurements, associations, and liberation.

Analysis of a comminuted ore sample reveals mineralogical, morphological, and liberation details of the constituent mineralogy

Mineral Processing

Data-driven Decision-Making

Increasing demand on resources has led to the evaluation of more complex, lower grade, ores. Maximizing recovery requires improvements in efficiency that involve detailed knowledge of the ore body, and of the mineralogy that influences behavior during the beneficiation process. When time is of the essence, Mineralogic 3D produces the actionable data needed for decision making, from comminution improvements, through process enhancements, to assessing the quality of the final concentrate.

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3D Mineralogy

Understand Your Mineral Like Never Before

Mineralogic 3D for Natural Resources

Mineral Identification

A change in the game of automated mineralogy

Liberation Analysis for Mining

See 100% of your sample in its truest form