Artificial neural network prediction of wellbore stability in offshore shallow formations-Reference-Cited by-同舟云学术

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Artificial neural network prediction of wellbore stability in offshore shallow formations

Published:2024-09 Issue: Volume: Page:213322
ISSN:2949-8910
Container-title:Geoenergy Science and Engineering
language:en
Short-container-title:Geoenergy Science and Engineering

Author:

Wu Juntao,Liu Wei,Li Jiaqi,Han Beiyu^ORCID,Tan Qiang,Lin Hai,Liu Hailong

Publisher

Elsevier BV

Reference64 articles.

1. AADNOY B. S., 1987. Continuum Mechanics Analysis of The Stability of Inclined Boreholes in Anisotropic Rock Formations. Ph Thesis Univ. Trondheim.

2. A Complete Elastic Model for Fluid-Induced and In-Situ Generated Stresses with the Presence of a Borehole;Aadnøy;Energy Sources,1987

3. New approach to evaluate the equivalent circulating density (ECD) using artificial intelligence techniques;Abdelgawad;J. Pet. Explor. Prod. Technol.,2018

4. Applications of time-dependent pseudo-3D stress analysis in evaluating wellbore stability;Abousleiman;Int. J. Rock Mech. Min. Sci.,1997

5. Adeyemi, B.J., Sulaimon, A.A., 2012. Predicting wax formation using artificial neural network, in: Nigeria Annual International Conference and Exhibition. OnePetro. https://doi.org/10.2118/163026-MS

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