Well placement optimization with a novel swarm intelligence optimization algorithm: Sparrow Search Algorithm-Reference-Cited by-同舟云学术

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Well placement optimization with a novel swarm intelligence optimization algorithm: Sparrow Search Algorithm

Published:2023-12 Issue: Volume:231 Page:212291
ISSN:2949-8910
Container-title:Geoenergy Science and Engineering
language:en
Short-container-title:Geoenergy Science and Engineering

Author:

Tabatabaei S. Mostafa^ORCID,Asadian-Pakfar Mojtaba,Sedaee Behnam^ORCID

Publisher

Elsevier BV

Reference62 articles.

1. Optimization of Well Design and Location in a Real Field;Abukhamsin,2009

2. Well placement optimization using a particle swarm optimization algorithm, a novel approach;Afshari;Pet. Sci. Technol.,2014

3. Well placement optimization using imperialist competitive algorithm;Al Dossary;J. Pet. Sci. Eng.,2016

4. Well-Placement Optimization Using the Quality Map Approach;Badru,2003

5. Well placement optimization in field development;Badru,2003

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2. Integrated optimization of well placement and perforation layer selection using a modified dung beetle algorithm;Geoenergy Science and Engineering;2024-09

3. Advancements in Q‐learning meta‐heuristic optimization algorithms: A survey;WIREs Data Mining and Knowledge Discovery;2024-08-18

4. Spacecraft Orbit Prediction Method Based on SSA-AM-LSTM;2024 9th International Conference on Computer and Communication Systems (ICCCS);2024-04-19

5. An Enhance Sparrow Search Algorithm Based on Individual Dispersion and Niche Mechanism;2024 7th International Conference on Advanced Algorithms and Control Engineering (ICAACE);2024-03-01

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