Sequential data-driven cross-domain lithology identification under logging data distribution discrepancy
Author:
Funder
PetroChina Innovation Foundation
National Natural Science Foundation of China
Publisher
IOP Publishing
Subject
Applied Mathematics,Instrumentation,Engineering (miscellaneous)
Link
https://iopscience.iop.org/article/10.1088/1361-6501/ac29d2/pdf
Reference36 articles.
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3. Evaluation of machine learning methods for formation lithology identification: a comparison of tuning processes and model performances;Xie;J. Pet. Sci. Eng.,2018
4. Intelligent logging lithological interpretation with convolution neural networks;Zhu;Petrophysics,2018
5. Comparison of lithology and net pay uncertainty between deterministic and geostatistical inversion workflows;Sams;First Break,2010
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