Leveraging automated deep learning (AutoDL) in geosciences

Author:

Davy NanditoORCID,Waheed Umair BinORCID,Koeshidayatullah ArdiansyahORCID,El-Husseiny AmmarORCID,Ayranci KorhanORCID,Harris Nicholas B.ORCID,Dong TianORCID

Publisher

Elsevier BV

Reference62 articles.

1. Measuring elastic properties to determine the influence of TOC on synthetic shale samples;Altowairqi;ASEG Extended Abstracts,2015

2. Machine learning technique for the prediction of shear wave velocity using petrophysical logs;Anemangely;J. Petrol. Sci. Eng.,2019

3. Pay zone determination by applying automatic machine learning (AutoML) in the mckee field, taranaki basin, New Zealand;Arce;Bulletin of Earth Sciences of Thailand,2021

4. Resistivity, radioactivity and sonic transit time logs to evaluate the organic content of low permeability rocks;Autric;Log. Anal.,1985

5. Sedimentological and ichnological characterization of the middle to upper devonian horn river group, British Columbia, Canada: insights into mudstone depositional conditions and processes below storm wave base;Ayranci;J. Sediment. Res.,2018

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