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What is Paradise?

Paradise utilizes sophisticated unsupervised machine learning techniques alongside supervised deep learning methodologies to improve data analysis and extract more profound insights. By developing specific attributes, it effectively captures crucial geological information that can be leveraged for further machine learning evaluations. The system discerns which attributes demonstrate the greatest variability and impact within a geological framework. Moreover, it visualizes neural classes through associated colors derived from Stratigraphic Analysis, showcasing the spatial arrangement of various facies. Fault detection is performed automatically by integrating deep learning and machine learning approaches. In addition, it facilitates a comparison between the results of machine learning classifications and other seismic attributes, benchmarked against traditional high-quality logs, thereby providing a robust validation method. The system also produces both geometric and spectral decomposition attributes across multiple computing nodes, resulting in significantly faster outcomes than would be possible with a single machine. This remarkable speed not only streamlines the research process but also significantly boosts the efficiency of geoscientific investigations and analyses, paving the way for more innovative exploration strategies.

What is Maptek GeologyCore?

Maptek GeologyCore revolutionizes the geology workflow by streamlining the entire process, which begins with the import and validation of drillhole data and culminates in the accurate definition of geological domains and the development of reliable models. This advanced system automates mundane tasks throughout the workflow, from data preparation to model publication, which allows geologists to focus their skills on more intricate and impactful endeavors. The software is designed to organize processes in a coherent manner, facilitating the rapid import and validation of drillhole data, thus enabling swift domain definition and the subsequent creation and distribution of geological models. Additionally, its capability to repeat processes promotes effortless experimentation, allowing any changes made to domains to be immediately reflected in the model. GeologyCore's versatility and adaptability make it suitable for a wide variety of projects, and it incorporates a cloud-based machine learning feature alongside traditional modeling methods, such as vein and implicit modeling. With this extensive toolkit for geological analysis, users can significantly enhance their productivity and efficiency. As a result, geological teams are empowered to work more effectively, leading to improved project outcomes and insights.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

$950/month

Supported Platforms

SaaS

Supported Platforms

Windows

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Geophysical Insights

Date Founded

2009

Company Location

United States

Company Website

www.geoinsights.com/products/

Company Facts

Organization Name

Maptek

Date Founded

1981

Company Location

Australia

Company Website

www.maptek.com/products/geologycore/

Categories and Features

Machine Learning

Not specified

Categories and Features

Geology and Seismic

Not specified

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