Technical Paper
Systematic Workflow for Reservoir Characterization in Northwestern Colombia using Multi-attribute Classification
First Break
A workflow is presented which includes data conditioning, finding the best combination of attributes for ML classification aided by Principal ...
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Net Reservoir Discrimination through Multi-Attribute Analysis at Single Sample Scale
First Break
Published in the special Machine Learning edition of First Break, this paper lays out results from multi-attribute analysis using Paradise, ...
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Machine Learning Applied to 3D Seismic Data from the Denver-Julesburg Basin Improves Stratigraphic Resolution in the Niobrara
Unconventional Resources Technology Conference
In a paper presented at URTeC 2019, Geophysical Insights uses Paradise machine learning software to improve resolution the reservoir intervals ...
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Applications of Machine Learning for Geoscientists – Permian Basin
Geophysical Insights
Carrie Laudon, Senior Geoscience Consultant with Geophsyical Insights, explores new Machine Learning applications in E&P for geoscientists in the Permian ...
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A Fault Detection Workflow Using Deep Learning and Image Processing
SEG Annual Meeting
Tao Zhao unveils a fault detection workflow using deep learning and image processing technologies at the 2018 Annual SEG Meeting ...
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Seismic Facies Classification Using Deep Convolutional Neural Networks
SEG Annual Meeting
Using a new supervised learning technique, convolutional neural networks (CNN), interpreters are approaching seismic facies classification in a revolutionary way ...
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Solving Exploration Problems with Machine Learning
First Break
Geoscientists Deborah Sacrey and Rocky Roden solve exploration problems using Paradise, machine learning software for seismic interpretation in the June ...
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Significant Advancements in Seismic Reservoir Characterization with Machine Learning
SPE Norway
Geophysicists, Rocky Roden & Patricia Santogrossi, discuss machine learning applications enabling refined assessment of thin beds and DHI characteristics ...
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Geobody Interpretation Through Multi-Attribute Surveys, Natural Clusters and Machine Learning
Geophysical Insights
This paper sets out a unified mathematical framework for the process from seismic samples to geobodies ...
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