Predicting shale mineralogical brittleness index from seismic and elastic property logs using interpretable deep learning-Reference-Cited by-同舟云学术

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Predicting shale mineralogical brittleness index from seismic and elastic property logs using interpretable deep learning

Published:2023-01 Issue: Volume:220 Page:111231
ISSN:0920-4105
Container-title:Journal of Petroleum Science and Engineering
language:en
Short-container-title:Journal of Petroleum Science and Engineering

Author:

Lee Jaewook^ORCID,Lumley David E.

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference62 articles.

1. Uncertainty reduction of interval inversion estimation results using a factor analysis approach;Abordán;GEM - International Journal on Geomathematics,2020

2. A new petrophysical model for organic shales;Alfred;Petrophysics,2013

3. Optimization of Hydraulic Fracture Stages and Sequencing in Unconventional Formations;Alzahabi,2018

4. Quantitative Seismic Interpretation;Avseth,2005

5. High-resolution core studies of Wolfcamp/Leonard basinal facies, southern Midland basin;Baumgardner,2014

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4. Prediction of Rock's Brittleness and Dynamic Properties Utilizing Effective Artificial Intelligence Approaches;Periodica Polytechnica Civil Engineering;2024-05-16

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