Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
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