Thomas Fender Thesis Machine Learning Images and Results

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posted on 2022-05-18, 01:10 authored by Thomas David FenderThomas David Fender, Mohamed RouainiaMohamed Rouainia

Machine Learning predictions based off the Eagle Ford and Green River shales used within Thomas Fender's PhD Thesis, entitled "Using Atomic Force Microscopy to Analyse the Geomechanical Properties of Organic Rich Rocks"

Funding

NEM00578X/1

Impact of hydraulic fracturing in the overburden of shale resource plays: Process-based evaluation (SHAPE-UK)

Natural Environment Research Council

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Earth Systems and Environmental Sciences

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Keywords

Eagle Ford Shale Green River shale Posidonia Shale Earth Sciences not elsewhere classified Geology Knowledge Representation and Machine Learning

Licence

CC BY 4.0

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