ESTIMATION OF DYNAMIC PETROPHYSICAL PROPERTIES FROM MULTIPLE WELL LOGS USING MACHINE LEARNING AND UNSUPERVISED ROCK CLASSIFICATION-Reference-Cited by-同舟云学术

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ESTIMATION OF DYNAMIC PETROPHYSICAL PROPERTIES FROM MULTIPLE WELL LOGS USING MACHINE LEARNING AND UNSUPERVISED ROCK CLASSIFICATION

Published:2019-06-20 Issue: Volume: Page:
ISSN:
Container-title:SPWLA 60th Annual Logging Symposium Transactions
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Author:

Bennis Mohamed,Torres-Verdín Carlos

Publisher

Society of Petrophysicists and Well Log Analysts

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Prediction of Hydrodynamic Parameters of the State of the Bottomhole Zone of Wells Using Machine Learning Methods;Georesursy;2024-03-30

2. Assessment of Depth of Mud-Filtrate Invasion and Water Saturation Using Formation-Tester Measurements: Application to Deeply Invaded Tight-Gas Sandstones;Petrophysics – The SPWLA Journal of Formation Evaluation and Reservoir Description;2023-12-01

3. Petrophysical interpretation of logging-while-drilling borehole measurements in the presence of electrical anisotropy, mud-filtrate invasion, noise, and well deviation effects;GEOPHYSICS;2023-10-09

4. Automatic Multiwell Assessment of Flow-Related Petrophysical Properties of Tight-Gas Sandstones Based on the Physics of Mud-Filtrate Invasion;SPE Reservoir Evaluation & Engineering;2023-03-15

5. Improving multiwell petrophysical interpretation from well logs via machine learning and statistical models;GEOPHYSICS;2023-03-01

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