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Stratigraphic interpretation and modelling

We provide the knowledge and tools for the construction of 3D models and interpretation of complete geological frameworks, supported and cross-validated by multiple data sets.

We offer solutions to address the need to include complex fault networks, vertical repeats, overturned folding, and additional 3D geometries into structural models. Our team has expertise in all aspects of resource modelling, including burden characterization, which is crucial to improve mine design and support blasting decisions; all of which leads to substantial operational cost savings and increased profitability. With years of experience carrying out complex geological modelling projects, we are specialists in providing our clients with innovative interpretation and modelling results. We have called upon that experience and expertise to develop proofs of concept, as well as implement systems, establish workflows, and set up tools specific to the coal industry.
Our team works across the complete spectrum of geophysical techniques. We provide analytical and interpretational value in ore body detectability analysis, survey design, geologically-constrained inversion, 3D geological modelling, integrated interpretation, drillhole targeting, contract geophysical research, and geophysical software development.

Related products

Through levelling and analysis of commonly collected wireline parameters, our team has been able to characterize rock types and interpolate rock properties into the 3D structural framework using industry-standard geostatistical tools.

Related resources

Case studies
April, 30 2019

ERO Copper Curaçá Valley, Brazil

Maximizing value: 3D data integration and interpretation. One of the main challenges in exploration is increasing our subsurface knowledge...
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Case studies
February, 16 2019

Mutooroo Iron Project area, Australia

Geophysical detection of hydrothermal alteration footprints. Presented at AEGC2018 by John McGaughey...
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Case studies
February, 04 2019

Darlot Gold Mine Area, Australia

3D Interpretation of geological, 3D seismic, and conventional geophysical data for brownfields exploration targeting...
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September, 13 2021

Manual classifications vs Project classifications

In Geoscience INTEGRATOR, There are two ways to create classifications when importing data...
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August, 03 2020

Have you Scene this?

In GOCAD Mining Suite v19, you can save the view as a Scene by right-clicking on the 3D Viewer > (Scene) Save As…
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April, 13 2020

Quick selection search tool

In Geoscience INTEGRATOR we added a search box to help you find objects lists such as drillholes, samples, or stations that often have thousands of items...
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Blog news
March, 18 2025

New release – GOCAD® Mining Suite V14.5

GMS V14.5 expands the Python API, enhances connectivity with Geoscience ANALYST, and improves interoperability through the open GEOH5 format.
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May, 28 2020

Reshape using spiderwebs

GOCAD Mining Suite v19 allows you to reshape your surfaces and 2D Grids with a spiderweb editing tool...
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September, 14 2020

Managing import templates

In Geoscience INTEGRATOR it is possible to edit Import template names and no-data values, activate/deactivate templates, see...
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September, 06 2021

Customize the Viewport axis labels

In Geoscience ANALYST you can customize the Viewport axis labels ..
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Q&As
November, 22 2019

Q&A ERO Copper Corp

We discussed Mira Geoscience’s contribution to further understand the Mineração Caraíba project area using modern exploration techniques...
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Mineral systems interpretation and targeting
December, 07 2020

Using comment field entries in drillhole databases to automatically re-log lithologies

This approach uses the comment field of the logging table to extract general topics that can then be used as learning features in a supervised machine learning classification approach.
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A single platform for unifying data

We use the best technology to offer the repeatability and speed advantages of implicit modelling, resulting in a modelling environment that allows any fault complexity and representation. Our solution provides the simplicity of 2D grid modelling with the geological complexity of 3D volumetric surface modelling. It also facilitates rapid updates of models with newly acquired data.

Extracting additional value from data with machine learning

Applying machine learning to large volumes of wireline data, Mira Geoscience has developed a method for semi-automatic lithofacies classification. Using a data-driven approach, standardized geological logs can be extracted directly from borehole geophysical logs. Through levelling and analysis of commonly collected wireline parameters, our team has been able to characterize rock types and interpolate rock properties into the 3D structural framework using industry-standard geostatistical tools.

Data sets we work with

Mira Geoscience ensures fast, intuitive, and accurate 3D earth models, regardless of your data types. We work with geological, geophysical, geochemical, and geotechnical data from different mining industry formats: ArcGIS, MapInfo, AutoCAD, GOCAD/SKUA, Gemcom, Surpac, CAE Studio, Vulcan, Geosoft, Leapfrog, ER Mapper, ioGAS, UBC-GIF, VPmg, Profile Analyst, Maxwell, and others.

Our team of experts

Our specialized stratigraphic modelling services rely on the experience of a seasoned team. Our geologists and geophysicists work closely with you to build an integrated 3D stratigraphic model that captures the criteria that are relevant. Our straightforward process facilitates the definition of exploration objectives, target criteria, and modelling actions. Our team has the experience to work with you to translate conceptual exploration models into data requirements and modelling actions across the spectrum of mineral commodities and deposit types. We provide guidance and services from model construction to the deployment of 3D expert-system targeting workflows.

Our team of experts

Please contact our team for additional information about our products and services