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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 RouainiaMachine 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
Find out more...History
UoA
- Earth Systems and Environmental Sciences
