Predicting mineralogy by integrating core and well log data using a deep neural network-Reference-Cited by-同舟云学术

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Predicting mineralogy by integrating core and well log data using a deep neural network

Published:2020-12 Issue: Volume:195 Page:107838
ISSN:0920-4105
Container-title:Journal of Petroleum Science and Engineering
language:en
Short-container-title:Journal of Petroleum Science and Engineering

Author:

Kim Dokyeong,Choi Junhwan,Kim Dowan,Byun Joongmoo

Funder

Hanyang University

Ministry of Trade, Industry and Energy

Korea Institute of Energy Technology Evaluation and Planning

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference39 articles.

1. Use of X-ray powder diffraction for quantitative analysis of carbonate rock reservoir samples;Al-Jaroudi;Powder Technol.,2007

2. MinInversion: a program for petrophysical composition analysis of geophysical;Amosu;well log data: Geosciences,2018

3. Petrophysical Rock Typing in Organic-Rich Source Rocks Using Well Logs: SEG Global Meeting Abstracts;Aranibar,2013

4. Learning deep architectures for AI;Bengio,2009

5. Augmentor: an Image Augmentation Library for Machine Learning;Bloice,2017

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