Deborah Sacrey

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Systematic Workflow for Reservoir Characterization in Northwestern Colombia using Multi-attribute Classification

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A workflow is presented which includes data conditioning, finding the best combination of attributes for ML classification aided by Principal ...
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Webinar: Leveraging Deep Learning in Extracting Features of Interest from Seismic Data

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Solving Interpretation Problems using Machine Learning on Multi-Attribute, Sample-Based Seismic Data - Presented by Deborah Sacrey, Owner of Auburn Energy ...
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Solving Interpretation Problems using Machine Learning on Multi-Attribute, Sample-Based Seismic Data

Geophysical Insights
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Deborah Sacrey, Owner and Geophysicist of Auburn Energy, provides a review of the various attribute categories and their possible machine ...
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Solving Exploration Problems with Machine Learning

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Geoscientists Deborah Sacrey and Rocky Roden solve exploration problems using Paradise, machine learning software for seismic interpretation in the June ...
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3D Volume

Using Self-Organizing Maps to Define Seismic Facies

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Using multiple attributes to evaluate a 3D volume in offshore South America containing unexpected high pressure zone and the application ...
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Visualization and Characterization of Paleozoic (Ordovician-Devonian) Tight Carbonate Reservoirs, Oklahoma, Part 1

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Part 1 of a 2-part Paradise Application Brief series demonstrating better well planning, identifying more productive perforation intervals and aiding ...
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Visualization of tight carbonate reservoirs

Visualization and Characterization of Paleozoic (Ordovician-Devonian) Tight Carbonate Reservoirs, Oklahoma, Part 2

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Part 2 of a 2-part Paradise Application Brief series applying multiple seismic attributes to enable easy high-grading of leaseholds, asses ...
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Using Self-Organizing Maps to Explore the Yegua in the Texas Gulf Coast

Geophysical Insights
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Exploring shallow Yegua formation as an independent method to accurately identify anomalies and exposing direct hydrocarbon indicators using Self-Organizing Map ...
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