Toward investigating the application of reservoir opportunity index in facilitating well placement optimization under geological uncertainty-Reference-Cited by-同舟云学术

Toward investigating the application of reservoir opportunity index in facilitating well placement optimization under geological uncertainty

Published:2022-08 Issue: Volume:215 Page:110709
ISSN:0920-4105
Container-title:Journal of Petroleum Science and Engineering
language:en
Short-container-title:Journal of Petroleum Science and Engineering

Author:

Yousefzadeh Reza^ORCID,Ahmadi Mohammad^ORCID,Kazemi Alireza^ORCID

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference42 articles.

1. Well placement optimization using a particle swarm optimization algorithm , a novel approach well placement optimization using a particle swarm optimization algorithm , a novel approach;Afshari;Petrol. Sci. Technol.,2013

2. Sweet spot identification and optimum well planning: an integrated workflow to improve the sweep in a sector of giant carbonate mature oil reservoir;Al-Sada,2014

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

4. On optimization algorithms for the reservoir oil well placement problem;Bangerth;Comput. Geosci.,2006

5. Production optimisation under uncertainty with automated scenario reduction : a real-field case application;Barros,2019

Cited by 14 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. Improved Flow Regime Identification and Novel Scaling Approach to Construct Type Wells for Multiply-Fractured Horizontal Wells;Arabian Journal for Science and Engineering;2024-07-30

2. Well Trajectory Optimization under Geological Uncertainties Assisted by a New Deep Learning Technique;SPE Journal;2024-07-09

3. Application of power-law committee machine to combine five machine learning algorithms for enhanced oil recovery screening;Scientific Reports;2024-04-22

4. Effect of reservoir heterogeneity on well placement prediction in CO2-EOR projects using machine learning surrogate models: Benchmarking of boosting-based algorithms;Geoenergy Science and Engineering;2024-02

5. Application of fast marching method and quality map to well trajectory optimization with a novel well parametrization;Geoenergy Science and Engineering;2023-12