A parametric study of machine learning techniques in petroleum reservoir permeability prediction by integrating seismic attributes and wireline data
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DOI: 10.1016/j.petrol.2019.01.110
Abstract: One of the recipes for the big data and artificial intelligence paradigms is multi-dimensional data integration for improved decision making in petroleum reservoir characterization. Various machine learning (ML) techniques have been applied. However, there is… read more here.
Keywords: permeability prediction; petroleum; permeability; petroleum reservoir ... See more keywords