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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Sophisticated seismic processing and imaging techniques are employed to prepare data for depth imaging, seismic characterization and interpretation, alongside projects focused on pore pressure prediction. The system's modular design, open architecture, and compliance with industry standards empower companies to tailor the system to meet their specific business goals and user needs. Cutting-edge seismic processing and imaging technologies, such as SRMA, 5D interpolation, and Aspen Echos RTM, are included within this framework. A vast collection of nearly 350 modules facilitates the development of data-driven processing workflows aimed at addressing contemporary geophysical challenges. The system boasts a highly efficient parallel framework optimized for cluster (HPC) performance, providing the best interactive connection between seismic applications, parameters, and data in the industry. Furthermore, Aspen Echos has established itself as the standard for seismic processing in the oil and gas sector, effectively generating high-resolution 2D and 3D seismic images of the subsurface to enhance exploration and analysis. This combination of features ensures that users can effectively adapt to the evolving demands of geophysical research.

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 No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

AspenTech

Country

United States

Website

www.aspentech.com/en/products/sse/aspen-echos

Vendor Details

Company Name

Geophysical Insights

Founded

2009

Country

United States

Website

www.geoinsights.com/products/

Product Features

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

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