Name: Paradise
Author: Geophysical Insights

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Paradise is an AI workbench developed by Geophysical Research, LLC (d/b/a Geophysical Insights) that aims to enhance seismic data interpretation and analysis in the oil and gas industry. According to the vendor, this platform utilizes machine learning and deep learning technologies to accelerate interpretation, reduce exploration risk, and optimize field development costs. Paradise is designed to cater to companies of all sizes, from small independent operators to large multinational corporations. It is intended for use by geoscientists, geophysicists, reservoir engineers, exploration managers, and oil and gas companies seeking to gain insights from seismic data.

## Key Features

**Attribute Generation**: According to the vendor, Paradise allows users to calculate seismic attributes to extract geological information and input them into machine learning analysis.

**Color Blending**: The vendor claims that Paradise enables users to blend up to three attribute volumes to highlight geologic features in 3D, potentially enhancing the interpretability of seismic data.

**Attribute Selection**: Paradise reportedly utilizes Principal Component Analysis (PCA) to identify attributes with high variance and contribution, enabling users to select attributes in a geologic setting.

**Machine Learning Stratigraphic Analysis**: According to the vendor, Paradise applies the Self-Organizing Map (SOM) unsupervised machine learning process to classify stratigraphic facies and their distributions, potentially revealing detailed stratigraphy beyond conventional seismic tuning thickness.

**2D Colormap**: Paradise offers a unique 2D Colormap to represent neuron classifications of attributes, allowing users to isolate and interact with specific neurons that have classified multiple seismic attributes. The vendor suggests that this feature provides a detailed view of geologic features and their geometries.

**Machine Learning Geobodies**: According to the vendor, Paradise allows users to estimate the volume of reserves/resources and geologic features. It also enables users to define geobodies from neurons in Stratigraphic Analysis, Fault Detection, and Seismic Facies classification, visualizing geological features in 3D.

**Deep Learning (DL) Seismic Facies Classification**: Paradise utilizes Convolutional Neural Network (CNN) deep learning technology to capture facies based on distinctive seismic patterns, aiming to identify structural and stratigraphic facies patterns in seismic data.

**Deep Learning (DL) Fault Detection**: Paradise reportedly offers automated fault detection in seismic data using deep learning and machine learning processes, potentially eliminating the need for manual fault picking and reducing bias in fault detection.

**Well Log Visualization**: According to the vendor, Paradise allows users to compare machine learning classification results and other seismic attributes to traditional well logs, providing a comprehensive view of reservoir properties.

**Well Log Cross Plots**: Paradise offers graphical displays that enable users to identify correlations between machine learning neurons and petrophysical properties by graphically displaying the relationship between log curves and machine learning results.

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Medium - 10 project slots - 1200 credits

Large - 50 project slots - 1200 credits

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Paradise

Machine learning tools are algorithmic applications of artificial intelligence that give systems the ability to learn and improve without ample human input; similar concepts are data mining and predictive modeling. They allow software to become more accurate in predicting outcomes without being explicitly programmed. The idea is that a model or algorithm is used to get data from the world, and that data is fed back into the model so that it improves over time. It’s called machine learning because the model “learns” as it is fed more and more data.

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Geophysical Insights

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What is Paradise?