With Geoscience INTEGRATOR v3.6, drillhole sample locations are automatically computed as XYZ by the system from the deviation surveys, making spatial searches more versatile and accurate.
For example, when querying samples by spatial extent through the 3D viewer, it will quickly show you all the drillhole samples located within that bounding box.
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Latest news
Default data colour settings
In Geoscience ANALYST you can set a default colour table and colour mapping transformation function. This way, when you import or create new data, it will be coloured by default.
Imago drillhole imagery light table connection
In GOCAD, you can now connect to your Imago account by...
Getting started with the Python geoh5py
Past event, view here or via our YouTube channel...
Visualize structural measurements
In GOCAD you can visualize strike and dip measurements as tablets, discs, or orientation vectors by initializing Structural Graphics...
Display property values as text
Through GOCAD's Style Editor, property values in atomic objects can be displayed as text in the 3D Viewer...
3D seismic data
In Geoscience ANALYST you can import and visualize 3D seismic data, and plan your next seismic survey with the seismic reflection survey designer....
Documents linked to a project
When documents are linked to a project in Geoscience INTEGRATOR, it is possible to be more specific and link them to the project’s data sets...
Deep Learning as an alternative to downward continuation filters for structural interpretation
Jean-Philippe Paiement proposes an alternative approach to the commonly used downward continuation filters used in the industry...
K-means clustering: compute inertia curve
In Geoscience ANALYST Pro the K-means clustering utility includes the ability to compute the data’s inertia curve...
Search for data by spatial extent
This video shows you how to search for data from Geoscience INTEGRATOR by spatial extent...
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.
