Machine learning model evaluation: A case study for core guided petrophysical analysis
Author:
Affiliation:
1. Colorado School of Mines
Publisher
Society of Exploration Geophysicists
Link
https://library.seg.org/doi/pdf/10.1190/segam2021-3582984.1
Reference9 articles.
1. Seismic sequence stratigraphy and tectonic evolution of southern Hydrate Ridge
2. Forward Forecast of Stock Price Using Sliding-Window Metaheuristic-Optimized Machine-Learning Regression
3. Data Report: Nuclear Magnetic Resonance Logging while Drilling, ODP Leg 204
4. Gulf of Mexico Gas Hydrate Joint Industry Project Leg II logging-while-drilling data acquisition and analysis
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1. Integration of sparse and continuous data sets using machine learning for core mineralogy interpretation;The Leading Edge;2023-06
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