Geoscience INTEGRATOR

Data management, 3D visualization, query, and analysis for integration of 3D mineral exploration and 4D geotechnical engineering data, interpretation, models, files, and documents.

Includes solutions for:

Geoscience INTEGRATOR brings together structured and unstructured geoscience data and interpretation, from drillholes to all types of geological, geophysical, geochemical, and geotechnical data and models. It is fully 4D, tracking both space and time. Documents and files can be stored, managed, and linked to data and interpretation. Metadata, tags, reporting, and internal advanced spatial computation are supported.

The system provides a data fusion capability specifically aimed at mining industry challenges. It does this by maintaining 3D earth model and 4D mine model geometrical data structures, upon which the multiple data sets can be projected, interpolated, upscaled, downscaled, or processed appropriately for each data type so that variables of importance can be co-located in space and time. This is a requirement for application of analytics or machine learning.

Customized links to our powerful 3D viewer Geoscience ANALYST provide a strong visual and quantitative link between data and model. Embedded Business Intelligence functionality provides access to a range of charts, tables, and other data views. Standard data import functionality may be augmented by the creation of customized links to any data source, including real-time data feeds.

Related services

We bring together true 4D multi-disciplinary data management, modelling, query, and expert-system analysis to forecast the geotechnical hazards quantitatively for design or real-time monitoring applications.

Solutions that meet your needs

4D data management, query, and visualization for:

  • Database and IT administrator
  • Exploration geologists
  • Geotechnical and mining engineers
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Data fusion for machine learning for:

  • Exploration geologists
  • Geotechnical and mining engineers
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Geotechnical hazard assessment for:

  • Geotechnical and mining engineers
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Analytics and reporting for:

  • Database and IT administrators
  • Exploration geologists
  • Geotechnical and mining engineers
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4D data management, query, and visualization

Each Geoscience INTEGRATOR server manages data from multiple exploration projects and mine sites for an unlimited number of users through both a web interface and Geoscience ANALYST, providing overview dashboards of data sets, metadata, statistics, and links to documents and files. Data can be queried interactively in 2D, 3D, and 4D through spatial, temporal, and record-values. Historical data can be easily discovered, visualized, and downloaded.

4D data management

  • Data sets managed as user-defined, structured tables of records or as files with metadata.
  • Data formats are free-form, using user-established templates containing any number of fields. Data may be integer, float, binary, classification, alphanumeric, or date/time. Time variance is supported on all data types for which it makes sense.
  • Document and file manager with extensive metadata.
  • Automated data import with quality control using user-defined rules.

Query

  • Web interface and Geoscience ANALYST 3D viewer provide an overview dashboard of data sets, metadata, statistics, and links to documents and files.
  • Select data by type, name, time range, spatial extents and many other attributes.
  • User tags, customized metadata, links among data, files, and documents, and 3D polygon search all support complex query capability to quickly identify data of interest.

Powerful 3D visualization environment

  • 3D visualization of most geoscience data types, including automated import of many standard file types; linked 2D, 3D, and tabular data views.
  • Access to tools that work with the 3D visualizer, for example digitization, simple surface creation, live links to Maxwell and ioGAS, and geophysical tools.

Data fusion for machine learning

Data fusion is a requirement for the application of machine learning. For geotechnical hazard assessment, mine engineers know that rock burst hazard, for example, is a function of geology, stress, production factors, rock mass quality, seismicity, and other variables, yet they have had no convenient capability to quantitatively integrate them. In mineral exploration, geological and geophysical data are often overlaid and interpreted together by knowledgeable explorers, but this falls short of the quantitative data fusion to which machine learning can be applied.

Sample compilation

  • Automated compilation of all data records by sample number, enabling instant correlation of multiple variables measured on the same sample at different times or by different labs.

Mine model compilation

  • The “mine model” is a 4D data structure for automatically co-locating multiple variables of interest in space and time. A multitude of variables related to geology, structure, stress, mine infrastructure, geometry, and production can be upscaled, downscaled, interpolated, and projected into (x, y, z, t) representations that are aligned in space and time. The mine model is suitable as input to both unsupervised and supervised machine learning.

Earth model compilation

  • The “earth model” is like the mine model, typically reduced to 2D or 3D as time-dependent variables are less common than at a mine site. A multitude of variables related to geology, structure, geochemistry, geophysics, and physical properties can be upscaled, downscaled, interpolated, and projected into representations suitable as input to both unsupervised and supervised machine learning for exploration targeting or related applications such as geometallurgical characterization.

Geotechnical hazard assessment

Knowledge-based and machine learning rules can be applied anytime or on an automatic schedule, typically connected to import of new data. For example, if seismicity data is automatically imported and the mine model data fusion structures updated daily, the hazard assessment can also be automatically updated daily.

Our premise is a simple one, and it’s proven effective over a wide variety of mine types (open pit, underground, hard rock, soft rock) and hazard types, e.g. roof fall, slope failure, water inflow. Hazard is modelled as a 4D function of time and space on the rock interface where the hazards are experienced, typically related to dozens of variables compiled using Geoscience INTEGRATOR’s data fusion functions. Machine learning methods are used to examine the history of the state of the mine over time, compare it to the history of geohazards, and to rigorously explore the relationships in order to define the data-driven hazard equation.

Automatic data import

  • New data is automatically imported through a “monitoring folder” system that detects new input files made available by third-party systems or site personnel, or automatically pulled from third-party databases using customized links.

Automatic data fusion

  • On import of new data, appropriate processing is used to upscale, downscale, interpolate, and project data as required to update the mine model. A scriptable version of the core GOCAD Mining Suite run-time engine on the Geoscience INTEGRATOR server is used to carry out 3D spatial and property computations of any required complexity. For geotechnical hazard assessment this includes functions such as onboard seismic data processing, kinematic bench analysis, and 3D interpolation of structural data.

Automatic application of knowledge-based or machine learning rules

  • Knowledge-based and machine learning rules can be applied anytime or on an automatic schedule, typically connected to import of new data. For example, if seismicity data is automatically imported and the mine model data fusion structures updated daily, the hazard assessment can also be automatically updated daily.

Automatic hazard reporting

  • Hazard reports can be automatically generated and distributed to a defined email group on a
    user-defined schedule. Hazards above a given threshold are highlighted.

Analytics and reporting

Embedded Business Intelligence functionality provides access to a range of charts, tables, and other data views in the web browser. Reports containing most charts and tables can be compiled into a customizable PDF report for ad hoc or scheduled delivery. The 3D visualizer (Geoscience ANALYST) provides linked 2D, 3D, tabular, and statistical data displays.

Web browser charts and tables

  • Histograms, scatter plots, ternary diagrams, time series.
  • Fine-grained control over plotting parameters including linear and log displays, point scaling and colouring by other properties, and tool tips.
  • Fine-grained query filters control record selection on all plots and tabular displays.
  • “Mine model” data fusion table and 2D map view plot, selectable by mine elevation, coloured by any desired property.
  • Export tables to csv.

Reports

  • Chart and table views with all applied plotting parameters and query filters can be saved as reports for later viewing with updated data.
  • Chart, table, and mine model views can be inserted into PDF reports for ad hoc or scheduled distribution to defined email groups.

3D Visual Reporting

  • Geoscience ANALYST provides linked 2D, 3D, tabular, and statistical data displays of the Geoscience INTEGRATOR database.

Related resources

Software releases
January, 15 2019

Geoscience INTEGRATOR AI for exploration

Geoscience INTEGRATOR, the missing AI link for exploration. This unique web-based data management system is designed...
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About us
January, 10 2018

UDMN Award of Excellence

Geoscience INTEGRATOR wins - Last December, UDMN presented us with an Outstanding Achievement in Commercialization...
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Software tips
April, 03 2019

Bounding boxes in the viewer

Coloured bounding boxes are used to highlight volumes in the Viewport: A purple box surrounds your current selection...
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Software releases
December, 06 2019

Geoscience INTEGRATOR v3.2

New features were made in the web UI for better visualization of the mine model fusion data. Other features include…
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Virtual Lecture – Archive
July, 29 2020

Getting started with the Python geoh5py

Past event, view here or via our YouTube channel...
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Software releases
April, 16 2019

GIFtools via Geoscience ANALYST

Coming up later in 2019 is the launch of GIFtools, an interface for the industry-standard UBC-GIF forward modelling...
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Online training
June, 05 2020

Online professional training

Geoscience ANALYST training courses tailored to meet your specific business needs and designed to be flexible to accommodate your schedule...
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Software tips
December, 02 2019

Double-click to save clicks

In GOCAD you can visualize double-click an object in the 3D Viewer to quickly and easily access its Style and Secondary Style Toolbar...
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About us
June, 21 2019

20 years of modelling the earth!

Mira Geoscience marks its 20th anniversary championing integrated interpretation for better earth modelling, interpretation, and data management...
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Developer’s sandbox
May, 28 2020

Using Python with Geoscience ANALYST

A new Geoscience ANALYST Python API, providing the capability of connecting to open source software, is scheduled for release....
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Case studies
September, 01 2019

Machine learning in mineral exploration

We have applied machine learning as part of custom solutions to complex exploration and geotechnical problems since 2015...
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Software tips
March, 03 2019

Data set search tools

In Geoscience INTEGRATOR, you can search by data set name or description through the Data set search...
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