Company:Mira Geoscience

From HandWiki
Short description: Geoscience software and consulting services


Mira Geoscience Ltd. is a privately owned Canadian company that specializes in providing advanced geoscience solutions for the mining and the mineral exploration industries, including the application of advanced geological and geophysical modelling, 3D-GIS technology, integrated interpretation and visualization, open-source technology, 4D multi-disciplinary data management, and geotechnical hazard assessment.

Mira Geoscience specializes in software solutions and consulting services. The company is headquartered in Montreal and has offices in Vancouver, Canada, as well as Brisbane and Perth, Australia. The company also has employees working remotely from other locations across the world.

History

Mira Geoscience was founded in 1999 by John McGaughey, who holds a MSc in Geological Engineering and a PhD in Geophysics from Queen’s University. Prior to founding Mira Geoscience, he spent 10 years at the Noranda Technology Centre as a Senior Scientist in their rock mechanics group.

In 1999, John McGaughey, in collaboration with Marc Vallée, introduced the 'Common Earth Model'[1] (term originated in the Oil & Gas industry) to mining and mineral exploration through the application of integrated interpretation, which is defined as the interpretive process by which a ‘common earth model’, consistent with all data and geological reasoning, is created. This adaptation to mining was inspired by the common earth model (also known as shared earth model) work published by S. Garrett in 1996[2]

In 2006, Mira Geoscience published 'The common earth model: A revolution in mineral exploration data integration'[3]. The mining-specific workflows are still available through GOCAD Mining Suite, a customized software extension of Aspen-SKUATM, developed by Aspen Technology for the Oil & Gas industry. GOCAD Mining Suite was developed for the minining and mineral exploration industries, as a software tool for integrated multi-disciplinary 3D geological modelling that enables integrated interpretation of multi-disciplinary geoscience data, including geological, geophysical, geochemical, structural, and geotechnical data.

In 2015, Mira Geoscience first released Geoscience ANALYST, a free 3D visualization and communication software for integrated, multi-disciplinary geoscience and mining data and models. The software also includes 3 additional paid modules for extended functionality: Geoscience ANALYST Pro offers numerous processing, analysis, and planning tools; Geoscience ANALYST Pro Geophysics for advanced geophysical modelling and interpretation; and Geoscience ANALYST Pro Geology for additional geologist’s toolkit including AI methods.

Geoscience ANALYST also enables the integration to open-source and advanced geophysical inversion codes, such as VP Suite and SimPEG, using the software's interface and Python―through geoh5py, an open-source Python API, and the geoapps repository― allowing for custom scripting and automation to enhance the analytical capabilities of the software. Geoscience ANALYST can also be used as the software interface to UBC-GIF codes, which are developed by the University of British Columbia Geophysical Inversion Facility and sold separately.

In 2022, Mira Geoscience received funding from the Mining Innovation Commercialization Accelerator (MICA) to accelerate the development of '4D Data Integration for Mining' [4] through their software application Geoscience INTEGRATOR, a data management system first released in 2014 that enables storing, 3D visualization, querying, analysis, and communication of mineral exploration and 4D geotechnical engineering data, models, and metadata.

In 2024, Mira Geoscience published 'A Framework for Mineral Geoscience Data and Model Portability'[5] on GEOH5, an open format data structure that provides a documented, public, easy-to-use, vendor-neutral, and permanently accessible means of storing and disseminating models, data, and metadata. GEOH5 is based on open-source HDF5 technology. Mira Geoscience also developed geoh5py, the open-source Python API that can read from and write to the GEOH5 data structure, and Geoscience ANALYST, the free 3D viewer that displays the contents of GEOH5 files as tables, charts, documents, maps, cross-sections, and 3D visualizations.

Recognitions

In December 2017, Mira Geoscience received the Ultra Deep Mining Network's Outstanding Achievement in Commercialization Award[6] for "a technical innovation and commercial sale that is quickly becoming the industry’s most comprehensive and advanced geotechnical data management and hazard computation system, Geoscience INTEGRATOR."

In March 2023, Mira Geoscience was awarded with the best extended abstract at ASEG 2023[7] for their technical paper on 'Integrated 3D modelling and associated machine learning targeting: the Jaguar Greenstone Belt example'.[8] Mira Geoscience completed an integrated interpretation in the Jaguar Greenstone Belt (JGB), in Western Australia, on behalf of Round Oak Minerals (now Aeris Resources). The prospectivity analysis at Jaguar used a Machine Leaning approach, namely Random Forests, to generate a 3D Mineral Potential Index based on different combinations of input exploration vectors.

In January 2024, Mira Geoscience received the 2023 AME Innovation Award[9] for "leading the development of an open-format data structure called GEOH5, an open-source documented, public, easy-to-use, vendor-neutral and permanently accessible means of storing and disseminating models, data, and metadata."

See also

References

  1. ↑ McGaughey, John; Vallée, Marc (November 1999). "Integrating geology and borehole geophysics in a common earth model for improved three-dimensional delineation of mineral deposits". https://www.researchgate.net/publication/290494413. 
  2. ↑ Garrett, S.; Grjesbach, S.; Johnson, D.; Jones, D.; Lo, M.; Orr, W.; Sword, C. (January 1997). "Earth model synthesis". First Break 15 (1): 13–20. doi:10.3997/1365-2397.1997001. https://www.earthdoc.org/content/journals/10.3997/1365-2397.1997001. 
  3. ↑ McGaughey, John (January 2006). "The common earth model: A revolution in mineral exploration data integration". https://www.researchgate.net/publication/229012986. 
  4. ↑ "MICA announces over $11.5M of investment in 16 Projects and launches 2nd Call for Proposals" (in en-US). 2022-11-16. https://micanetwork.ca/mica-announces-over-11-5m-of-investment-in-16-projects-and-launches-2nd-call-for-proposals/. 
  5. ↑ McGaughey, John; Brossoit, Julien; Davis, Kristofer; Fournier, Dominique; Hensgen, Dominique Fournier (February 2024). "A Framework for Mineral Geoscience Data and Model Portability". First Break 42 (2): 89–93. doi:10.3997/1365-2397.fb2024019. Bibcode: 2024FirBr..42b..89M. https://earthdoc.org/content/journals/10.3997/1365-2397.fb2024019. 
  6. ↑ CEMI Mining (December 2017). "UDMN member reaches commercial success – Mira Geoscience" (in en-US). https://www.cemi.ca/udmn-member-reaches-commercial-success-mira-geoscience/. 
  7. ↑ "AEGC 2023: Awards". Preview (Australian Society of Exploration Geophysicists) (223): p. 19. April 2023. https://www.aseg.org.au/sites/default/files/flipbooks/aseg-newsletter-issue-223/inc/pdf/flipbook.pdf. 
  8. ↑ Joly, Aurore; Reid, James; Pears, Glenn; Paiement, Jean-Philippe; Potter, Dave; Healy, Matt; Dunstone, Kurtis; Hamill, John et al. (2023-03-15). "Integrated 3D modelling and associated machine learning targeting: the Jaguar Greenstone Belt example.". ASEG Extended Abstracts 2023 ((4th Australasian Exploration Geoscience Conference)). https://zenodo.org/records/8019269. 
  9. ↑ "AME Announces 2023 Award Recipients – AME". https://amebc.ca/releases/ame-announces-2023-award-recipients/. 


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