Bridging the performance gap between passive and autonomous inflow control devices with a hybrid dynamic optimization technique integrating machine learning and global sensitivity analysis-Reference-Cited by-同舟云学术

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Bridging the performance gap between passive and autonomous inflow control devices with a hybrid dynamic optimization technique integrating machine learning and global sensitivity analysis

Published:2024-09 Issue: Volume:240 Page:213037
ISSN:2949-8910
Container-title:Geoenergy Science and Engineering
language:en
Short-container-title:Geoenergy Science and Engineering

Author:

Ahdeema Jamal^ORCID,Moradi Ali^ORCID,Sefat Morteza Haghighat^ORCID,Muradov Khafiz,Moldestad Britt M.E.

Publisher

Elsevier BV

Reference65 articles.

1. Performance of CO2 flooding in a heterogeneous oil reservoir using autonomous inflow control;Aakre;J. Petrol. Sci. Eng.,2018

2. Hybrid framework for enhanced dynamic optimization of intelligent completion design in multilateral wells with multiple types of flow control devices;Ahdeema;Energies,2023

3. Hybrid optimization technique allows dynamic completion design and control in advanced multilateral wells with multiple types of flow control devices;Ahdeema,2023

4. Completion performance evaluation in multilateral wells incorporating single and multiple types of flow control devices using grey wolf optimizer;Ahdeema;Processes,2024

5. Advanced sand-face completion design and application in gas and gas-condensate fields;Al-Khelaiwi,2010

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