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
API Access
Has API
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
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
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization