Genetic algorithms in oil industry: An overview-Reference-Cited by-同舟云学术

Genetic algorithms in oil industry: An overview

Published:2005-05 Issue:1-2 Volume:47 Page:15-22
ISSN:0920-4105
Container-title:Journal of Petroleum Science and Engineering
language:en
Short-container-title:Journal of Petroleum Science and Engineering

Author:

Velez-Langs Oswaldo

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference33 articles.

1. Hybrid method for porosity classification in carbonate formations;Batyrshin;J. Pet. Sci. Eng.,2005

2. Calculating optimal parameters for history matching;Bissell,1994

3. Boschetti, F., 1995. Application of Genetic Algorithms to the Inversion of Geophysical Data. PhD thesis in Mathematical Geophysics. University of Western Australia, Perth.

4. Application of a modified genetic algorithm to parameter estimation in the petroleum industry;Bush,1996

5. Optimal choice of inversion parameters for history-matching with the pilot point method;Cuypers,1998

Cited by 61 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. A flowchart for porosity and acoustic impedance mapping using seismic inversion with semi hybrid optimization combining simulated annealing and pattern search techniques;Marine Geophysical Research;2024-09

2. Phase equilibria calculations of a hydrocarbon system consisting water and asphaltene using association equation of state: A generalized auto-tune procedure;Fluid Phase Equilibria;2024-05

3. Prediction of drilling plug operation parameters based on incremental learning and CNN-LSTM;Geoenergy Science and Engineering;2024-03

4. Reservoir Characterization Using Seismic Inversion Based on Sparse Layer Reflectivity and Hybrid Genetic Algorithms: A Comparative Case Study of Blackfoot, Canada;International Journal of Petroleum Technology;2023-12-08

5. A critical review on intelligent optimization algorithms and surrogate models for conventional and unconventional reservoir production optimization;Fuel;2023-10