Extracting meaningful characteristics of rock texture -both fine-grain and macroscopic - is a product of strong imaging programs in geoscience. Dragonfly's  advanced multi-scale, multi-modality segmentation and analysis tools are gamechangers in geoscience, impacting both academic research and high-value industry applictions.

Image source: Analysis of a granite fracture. Data courtesy of Digital Rocks Portal

Groundbreaking solutions for your geoscience tasks.

From the petrochemical and mining industries to mineralogy and crystallography, from sandstone to extraterrestrial rocks – Geoscience covers a wide range of research fields, industries and materials. Dragonfly supports your academic or commercial endeavor with imaging software products that are tailored to the needs of your field of expertise.

Tools for the oil & gas industry

Perfectly suited for operators, service labs, and consultants in E&P, Dragonfly is a digital rocks toolkit with a strong AI core. Applied across the scales of sandstones to mudrocks, Dragonfly is ideal for multi-scale, multi-modal characterization of reservoir and source rocks.


Plugs and cuttings

  • Full microCT and FIBSEM reconstruction pipelines for single- and multi-channel image studies
  • Plug Analysis Wizard for streamlined analysis and reporting on core plugs
  • Full suite of advanced image filters and high-impact visualization
  • Correlative image fusion and interpretation for multi-scale imaging studies)
  • Visualization and measurement of water-injection for EOR characterization
Kamila Scheffer, Yves Méheust, Marcio S. Carvalho, Marcos H.P. Mauricio, Sidnei Paciornik, Journal of Petroleum Science and Engineering, 198, March, 2021. DOI: 10.1016/j.petrol.2020.108134

Polished sections

  • LM, SEM, SEM X-ray (EDS) Mineralogy data handling
  • Super-resolution for precise visualization and size analysis of fine features Visualization and measurement of water-injection for EOR characterization

Valuable rock properties

  • Automated image segmentation with best-in-class deep learning framework
  • Quantitative reporting on grain size and pore-size distributions
  • Pore network extraction and measurements of tortuosity and permeability
  • Porosity (total and surface-connected) and Total Organic Content reporting  (keragen and bitumen)
  • Determination of Minkowski functionals (Mean Curvature, Euler number, Surface Area) rock transport properties
  • Numerical modeling for elasticity, electrical, and flow simulations

Whole core

  • DICOM and other popular image formats are supported.
  • Pre-processing: beam hardening, core barrel deletion. Corewall image extraction for FMI log matching
  • Fracture detection and aperture mapping
  • Signal processing for integrated dual energy analysis
Pore network in a water flooded Bentheimer outcrop sample. Data courtesy of Digital Rocks Portal.
Analysis of a granite fracture. Data courtesy of Digital Rocks Portal.

Solutions for the Mining Industry

Dragonfly helps mining companies gain unique insights and valuable information of mineral composition and other parameters for resource prediction, process oversight, quality assurance, and other operational decisions that ultimately aid profitability.


2D and 3D Mineralogy

  • Import mineralogy 2D SEM-EDS maps and compute mineral area fractions
  • 2D XRF -> 3D microCT upscaling for 3D Mineralogy
Tung, P.K.M., Halim, A.Y., Wang, H., Rich, A., Marjo, C. and Regenauer-Lieb, K., 2022. Deep-XFCT: Deep Learning 3D-Mineral Liberation Analysis with Micro-X-ray Fluorescence and Computed Tomography. Energies 2022, 15, 5326 (https://doi.org/10.3390/en15155326).

Texture characterization

  • Visualization and inspection of ore texture and crack formation
  • High-fidelity segmentation and differentiation between cracks and pores
Metallurgy and materials • REM, Int. Eng. J. 73 (2) • Apr-Jun 2020 • https://doi.org/10.1590/0370-44672019730119

Supporting Earth and Planetary Science research

Start a new era of analysis and visualization with Dragonfly's imaging technology. Our solution supports you in the mineralogy and crystallography research of terrestrial and extraterrestrial samples – and to unlock basic science.


Analysis and visualization of Diffraction µ-Computed Tomography (DCT)

  • Informing quantum materials discovery and synthesis using X-ray micro-computed tomography.

Lucas A. Pressley, Dave Edey, Romy Hanna, Sieun Chae, John T. Heron, Mojammel A. Khan & Tyrel M. McQueen. Quantum Materials volume 7, Article number: 121 (2022)


Multi-scale and correlative study of soils and rocks

  • Integrate EM and XCT imaging techniques
  • Span multiple length scales for hierarchical characterization
  • Integrate XCT and Neutron-CT
R.L. Mitchell, P. Davies, P. Kenrick, T. Volkenandt, C. Pleydell-Pearce, and R. Johnston, Correlative Microscopy: a tool for understanding soil weathering in modern analogues of early terrestrial biospheres. Scientific Reports, Volume 11, Article Number 12736, 2021 (https://doi.org/10.1038/s41598-021-92184-1).
Martell et al. SCIENCE ADVANCES. 11 May 2022. Vol 8, Issue 19. DOI: 10.1126/sciadv.abn304
Courtesy of Patrick Tung, Tyree X-Ray Facility.

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