Draft:Mira Geoscience
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| Submission declined on 17 June 2024 by HitroMilanese (talk). This submission is not adequately supported by reliable sources. Reliable sources are required so that information can be verified. If you need help with referencing, please see Referencing for beginners and Citing sources. This draft's references do not show that the subject qualifies for a Wikipedia article. In summary, the draft needs multiple published sources that are: Declined by HitroMilanese 5 months ago.
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| Submission declined on 17 June 2024 by Rich Smith (talk). This submission appears to be taken from https://www.mirageoscience.com/mining-industry-software/geoscience-analyst-pro-geophysics/. Wikipedia cannot accept material copied from elsewhere, unless it explicitly and verifiably has been released to the world under a suitably free and compatible copyright license or into the public domain and is written in an acceptable tone—this includes material that you own the copyright to. You should attribute the content of a draft to outside sources, using citations, but copying and pasting or closely paraphrasing sources is not acceptable. The entire draft should be written using your own words and structure. Declined by Rich Smith 5 months ago.
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| Submission declined on 5 June 2024 by SafariScribe (talk). This submission appears to read more like an advertisement than an entry in an encyclopedia. Encyclopedia articles need to be written from a neutral point of view, and should refer to a range of independent, reliable, published sources, not just to materials produced by the creator of the subject being discussed. This is important so that the article can meet Wikipedia's verifiability policy and the notability of the subject can be established. If you still feel that this subject is worthy of inclusion in Wikipedia, please rewrite your submission to comply with these policies. This submission does not appear to be written in the formal tone expected of an encyclopedia article. Entries should be written from a neutral point of view, and should refer to a range of independent, reliable, published sources. Please rewrite your submission in a more encyclopedic format. Please make sure to avoid peacock terms that promote the subject. Declined by SafariScribe 6 months ago. | |
Comment: Not meeting WP:NCOMPANY. Most of the presented sources are unreliable. Please see WP:RS. Hitro talk 18:19, 17 June 2024 (UTC)
- Comment: Pls suppress any unless information not within the sources or PROMO stuffs. Safari ScribeEdits! Talk! 03:04, 5 June 2024 (UTC)
Mira Geoscience Ltd. is a privately owned Canadian company specializing in advanced geoscience solutions for the mining and mineral exploration industries. The company offers a range of services including advanced geological and geophysical modeling, 3D-GIS technology, integrated interpretation and visualization, open-source technology, 4D multi-disciplinary data management, and geotechnical hazard assessment.
Mira Geoscience provides both software solutions and consulting services. The company is headquartered in Montreal, with offices in Vancouver, Canada, and Brisbane and Perth, Australia. It also has remote employees working globally.
History
[edit]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. Before founding Mira Geoscience, John spent 10 years at the Noranda Technology Centre as a Senior Scientist in their rock mechanics group.
In 1999, John McGaughey and 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 mining 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
[edit]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
[edit]References
[edit]- ^ McGaughey, John; Vallée, Marc (November 1999). "Integrating geology and borehole geophysics in a common earth model for improved three-dimensional delineation of mineral deposits". Research Gate.
- ^ 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 – via EarthDoc.
- ^ McGaughey, John (January 2006). "The common earth model: A revolution in mineral exploration data integration". Research Gate.
- ^ "MICA announces over $11.5M of investment in 16 Projects and launches 2nd Call for Proposals". MICA. 2022-11-16. Retrieved 2024-06-05.
- ^ 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. Bibcode:2024FirBr..42b..89M. doi:10.3997/1365-2397.fb2024019 – via EarthDoc.
- ^ CEMI Mining (December 2017). "UDMN member reaches commercial success – Mira Geoscience". CEMI. Retrieved 2024-06-06.
- ^ "AEGC 2023: Awards" (PDF). Preview. No. 223. Australian Society of Exploration Geophysicists. April 2023. p. 19.
- ^ Joly, Aurore; Reid, James; Pears, Glenn; Paiement, Jean-Philippe; Potter, Dave; Healy, Matt; Dunstone, Kurtis; Hamill, John; Nish, Andrew (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)).
- ^ "AME Announces 2023 Award Recipients – AME". amebc.ca. Retrieved 2024-06-04.
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