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Description

Evaluate and analyze complex layered data sets to construct a comprehensive understanding of large-scale landscape scenarios. In partnership with the British Geological Survey, GeoVisionary excels in the integration and visualization of varied data sets, enabling collaboration across different fields through a unified tool within the same spatial framework. Strategically plan and define field activities while assessing potential risks to optimize time efficiency during ground operations. Teams on-site are equipped with the most thorough information available and can relay updates to local staff and remote specialists regarding their findings and ongoing tasks. By merging extensive data from various origins, it enhances comprehension of diverse spatial information. Combine multi-resolution terrain data from different sources to quickly generate slope and aspect maps. Engage effectively with your audience and facilitate visualization without the need for coding, ensuring that complex data is accessible and understandable for all stakeholders involved. This collaborative approach fosters better decision-making and drives innovation in landscape analysis.

Description

Paradise employs advanced unsupervised machine learning alongside supervised deep learning techniques to enhance data interpretation and derive deeper insights. It creates specific attributes that help in extracting significant geological information, which can then be utilized for machine learning analyses. The system identifies attributes that exhibit the most variation and influence within a geological context. Additionally, it visualizes neural classes and their corresponding colors from Stratigraphic Analysis, which reveal the spatial distribution of different facies. Faults are detected automatically through a combination of deep learning and machine learning methods. Furthermore, it allows for a comparison between machine learning classification outcomes and other seismic attributes against traditional high-quality logs. Lastly, it generates both geometric and spectral decomposition attributes across a cluster of computing nodes, achieving results in a fraction of the time it would take on a single machine. This efficiency enhances the overall productivity of geoscientific research and analysis.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Virtalis

Founded

1989

Country

United Kingdom

Website

www.virtalis.com/products/geovisionary

Vendor Details

Company Name

Geophysical Insights

Founded

2009

Country

United States

Website

www.geoinsights.com/products/

Product Features

Virtual Reality

Application Development
Augmented / Mixed Reality
Collaboration
Content Creation
Cross-Device Publishing
Drag & Drop
Immersive Training
Process Simulation
Product Visualization
Social Sharing
User Interaction Tracking
Virtual Meetings
Virtual Prototyping

Product Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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