Resource Library

Wisting Case study Presentation Square Thumbnail

A multi-disciplinary approach to establish a workflow for the application of machine learning for detailed reservoir description – Wisting case study Presentation

2020 Oil & Gas Machine Learning Symposium
A multidisciplinary approach that is maximizing information extraction from seismic to predict lithofacies and reservoir properties, based on the following steps is presented: Multi-attribute ...
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Application of Unsupervised Machine Learning for 3D Seismic, Pliocene Turbidities, Offshore Nile Delta Squared Thumbnail

Application of Unsupervised Machine Learning for 3D Seismic, Pliocene Turbidities, Offshore Nile Delta

2020 Oil & Gas Machine Learning Symposium
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Application of the unsupervised Machine learning using SOM clearly demonstrate the strike and geomorphology of the Pliocene marine turbidities. The ...
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Investigating the Internal Fabric of VSP data with Attribute Analysis and Unsupervised Machine Learning Square Thumbnail

Investigating the Internal Fabric of VSP data with Attribute Analysis and Unsupervised Machine Learning

SEG 2020
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Examination of vertical seismic profile (VSP) data with unsupervised machine learning technology is a rigorous way to compare the fabric ...
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Finding Hydrocarbons using SOM Classifications Square Thumbnail

Finding Hydrocarbons using SOM Classifications

SEG 2020
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The key to this presentation is showing examples of how the SOM classification process has led to hydrocarbon discoveries in ...
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Calibrating SOM Results to Wells – Improving Stratigraphic Resolution in the Niobrara Square Thumbnail

Calibrating SOM Results to Wells – Improving Stratigraphic Resolution in the Niobrara

SEG 2020
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By using statistical tools such as Attribute Selection, which uses Principal Component Analysis (PCA), and Multi-Attribute Classification using Self Organizing ...
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Statistical Calibration of SOM results with Well Log Data (Case Study) Square Thumbnail

Statistical Calibration of SOM results with Well Log Data (Case Study)

SEG 2020
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This article shows its application to reveal the relationship between a SOM classification volume of a set of nine seismic ...
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Introduction to the Paradise AI Workbench Squared Thumbnail

Introduction to the Paradise AI Workbench

SEG 2020
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Companies worldwide are seeking solutions for their digital transformation initiatives and face a make-vs-buy decision when it comes to their ...
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Gas Hydrates, Reefs, Channel Architecture, and Fizz Gas SOM Applications in a Variety of Geologic Settings Square Thumbnail

Gas Hydrates, Reefs, Channel Architecture, and Fizz Gas: SOM Applications in a Variety of Geologic Settings

SEG 2020
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Students at the University of Oklahoma have been exploring the uses of SOM techniques for the last year. This presentation ...
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What Interpreters Should Know About Machine Learning

What Interpreters Should Know About Machine Learning

Geophysical Insights
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By Rocky Roden | May 2020 Introduction to Machine Learning for Interpreters ● Why Machine Learning now? ● Address terminology ...
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