Neural Network based Mechanical Earth Modelling (MEM): A case study in Hassi Messaoud Field, Algeria-Reference-Cited by-同舟云学术

Neural Network based Mechanical Earth Modelling (MEM): A case study in Hassi Messaoud Field, Algeria

Published:2022-03 Issue: Volume:210 Page:110038
ISSN:0920-4105
Container-title:Journal of Petroleum Science and Engineering
language:en
Short-container-title:Journal of Petroleum Science and Engineering

Author:

Aoun Ala Eddine^ORCID,Soto Ricardo,Rabiei Minou^ORCID,Rasouli Vamegh,Khetib Youcef,Irofti Doina

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference41 articles.

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4. formation breakdown pressure prediction with artificial neural neyworks;Akos,2018

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Cited by 8 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. Geomechanical modeling to assess the injection-induced fracture slip-potential and subsurface stability of the Cambro-Ordovician reservoirs of Hassi Terfa field, Algeria;International Journal of Rock Mechanics and Mining Sciences;2024-06

2. Reservoir basin characterization using one-dimensional (1D) mechanical earth modeling (MEM) for wellbore stability (WBS) analysis;Modeling Earth Systems and Environment;2024-01-03

3. Construction of a New Model (ANNSVM) Compensator for the Low Resistivity Phenomena Saturation Computation Based on Logging Curves;Unconventional Hydrocarbon Resources;2023-07-31

4. Recognition of Lithology Automatically Utilizing a New Artificial Neural Network Algorithm;Unconventional Hydrocarbon Resources;2023-07-31

5. Integrating drilling parameters and machine learning tools to improve real-time porosity prediction of multi-zone reservoirs. Case study: Rhourd Chegga oilfield, Algeria;Geoenergy Science and Engineering;2023-04