- Adams J.N., Charrier T. (1985) Drilling engineering: a complete well planning approach , PennWell Publishing Company, Tulsa, Oklahoma, pp. 342–345. [Google Scholar]
- Atashnezhad A., Wood D.A., Ereidounpour A., Khosravanian R. (2014) Designing and optimizing deviated wellbore trajectories using novel particle swarm algorithms, J. Nat. Gas Sci. Eng. 21 , 1184–1204. [Google Scholar]
- Dalzell J. (2013) Conventional natural gas supply costs in Western Canada − an update , Canadian Energy Research Institute, 136, 31. [Google Scholar]
- Han K.H., Kim J.H. (2000) Genetic quantum algorithm and its application to combinatorial optimization problem, in: Proceedings of the 2000 Congress on Evolutionary Computation , IEEE Press, New York, USA, pp. 1354–1360. [CrossRef] [Google Scholar]
- Karimpour K., Zarghami R., Moosavian M.A., Bahmanyar H. (2016) New fuzzy model for risk assessment based on different types of consequences, Oil Gas Sci. Technol. − Rev. IFP Energies Nouvelles 71 , 17. [Google Scholar]
- Li P.C., Li S.Y. (2008) Quantum-inspired evolutionary algorithm for continuous spaces optimization, Chin. J. Electron. 17 , 80–84. [Google Scholar]
- Li P.C., Li S.Y. (2009) Quantum genetic algorithm based on real-coded and objective function's gradient, J. Harbin Inst. Technol. 38 , 1216–1218. [Google Scholar]
- Ma T., Chen P., Yang C., Zhao J. (2015) Wellbore stability analysis and well path optimization based on the breakout width model and Mogi-Coulomb criterion, J. Pet. Sci. Eng. 135 , 678–701. [Google Scholar]
- Mansouri V., Khosravanian R., Wood D.A., Aadnoy B.S. (2015) 3-D well path design using a multi-objective genetic algorithm, J. Nat. Gas Sci. Eng. 27 , 219–235. [Google Scholar]
- Sha L.X. (2013) A self-adaptive quantum genetic algorithm and its application in the drilling parameters optimization , China Petroleum Machinery, pp. 72–74. [Google Scholar]
- Sha L.X., He Y.Y. (2010) Research and application of a variable step double chains quantum genetic algorithm, Comput. Eng. Appl. 48 , 59–63. [Google Scholar]
- Sha L.X., He Y.Y. (2012) A novel bloch quantum genetic algorithm and its application of drilling parameters optimization, in: The International Conference on Engineering Technology and Economic Management , pp. 6–9. [Google Scholar]
- Shokir E.M., Emera M.K., Eid S.M., Wally A.W. (2004) A new optimization model for 3-D well design, Oil Gas Sci. Technol. − Rev. IFP 59 , 255–266. [CrossRef] [Google Scholar]
- Wood D.A. (2016a) Hybrid cuckoo search optimization algorithms applied to complex wellbore trajectories aided by dynamic, chaos-enhanced, fat-tailed distribution sampling and metaheuristic profiling, J. Nat. Gas Sci. Eng. 34 , 236–252. [Google Scholar]
- Wood D.A. (2016b) Hybrid bat flight optimization algorithm applied to complex wellbore trajectories highlights the relative contributions of metaheuristic components, J. Nat. Gas Sci. Eng. 32, 211–221. [Google Scholar]
- Xu S.H., Xu C. (2010) A Novel double chain quantum genetic algorithm and its application, Comput. Appl. Res. 21, 2090–2092. [Google Scholar]
- Yin P.Y. (2006) Genetic particle swarm optimization for polygonal approximation of digital curves, Pattern Recognit. Image Anal. 16 , 223–233. [CrossRef] [Google Scholar]
- Zhang G.X., Rong H.N. (2007) Real-Observation Quantum-Inspired Evolutionary Algorithm for a Class of Numerical Optimization Problems, ICCS 2007 , Part IV, LNCS 4490, pp. 989–996. [Google Scholar]
- Zhang G.X., Li N., Jin W.D., Hu L.Z. (2004) A novel quantum genetic algorithm and its application, ACTA Electron. Sin. 32 , 476–479. [Google Scholar]
- Zhao Q.H. translation, Nielsen M.A., Chuang I.L. (2004) Quantum Computer and Quantum Information , Tsinghua University Press, pp. 38–58. [Google Scholar]
Open Access
Numéro |
Oil & Gas Science and Technology - Rev. IFP Energies nouvelles
Volume 73, 2018
|
|
---|---|---|
Numéro d'article | 79 | |
Nombre de pages | 8 | |
DOI | https://doi.org/10.2516/ogst/2018008 | |
Publié en ligne | 18 décembre 2018 |
Les statistiques affichées correspondent au cumul d'une part des vues des résumés de l'article et d'autre part des vues et téléchargements de l'article plein-texte (PDF, Full-HTML, ePub... selon les formats disponibles) sur la platefome Vision4Press.
Les statistiques sont disponibles avec un délai de 48 à 96 heures et sont mises à jour quotidiennement en semaine.
Le chargement des statistiques peut être long.