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Latest news
Getting started with the Python geoh5py
Past event, view here or via our YouTube channel...
Data fusion – Automatic sample compilation
In Geoscience INTEGRATOR, the Sample compilation page offers powerful tools to support the analysis of complex or difficult-to-view relationships within your sample data...
UBC-GIF or VP Suite inversion?
"The programs are complementary, and the combination gives one the ultimate flexibility in potential-field inversion,” says Kristofer Davis, Scientific Programmer at Mira Geoscience.
A YouTube Channel about 3D modelling
We have quite a few how-to and tutorial videos lined up on YouTube highlighting our earth modelling, interpretation, and data management software for the construction of plausible geological models.
Display property values as text
Through GOCAD's Style Editor, property values in atomic objects can be displayed as text in the 3D Viewer...
Using hot keys
Use hot keys in GOCAD Mining Suite to optimize your experience to help navigate the interface and execute commands more quickly and easily. Try them out!
Used v/s available themes
In Geoscience INTEGRATOR, the Theme drop down menu shows a filtered list of those containing data sets by default...
Display multiple Voxet sections
In GOCAD Mining Suite, you can create additional sections, hide/show them, use the slider and arrow to position them along the Voxet, and delete them...
Using ioGAS in Geoscience ANALYST Pro – Virtual Lecture
Join us on August 12, 2021 at 11am Pacific Time as Carla shows ioGAS in Geoscience ANALYST...
Geoscience INTEGRATOR v3.3
This version features database performance improvements for faster import and data query for hazard assessment. It also...
Improved data analysis
Analyze your data with enhanced histogram display options available in GOCAD Mining Suite v19...
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.