Classification of Petroleum Well Drilling Operations with a Hybrid Particle Swarm/Ant Colony Algorithm

被引：0
|
作者：
Serapiao, Adriane B. S. [1 ]
Mendes, Jose Ricardo P. [2 ]
机构：
[1] UNESP, IGCE, DEMAC, CP 178, BR-13506900 Rio Claro, SP, Brazil
[2] Univ Estadual Campinas, FEM, DEP, Campinas, SP, Brazil
来源：
NEXT-GENERATION APPLIED INTELLIGENCE, PROCEEDINGS | 2009年 / 5579卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper describes an investigation of the hybrid PSO/ACO algorithm to classify automatically the well drilling operation stages. The method feasibility is demonstrated by its application to real mud-logging dataset. The results are compared with bio-inspired methods, and rule induction and decision tree algorithms for data mining.
引用
收藏
页码：301 / +
页数：2
相关论文
共 50 条
  • [41] Hybrid Particle Swarm-Ant Colony Algorithm to Describe the Phase Equilibrium of Systems Containing Supercritical Fluids with Ionic Liquids
    Lazzus, Juan A.
    COMMUNICATIONS IN COMPUTATIONAL PHYSICS, 2013, 14 (01) : 107 - 125
  • [42] A Hybrid Modified Ant Colony Optimization - Particle Swarm Optimization Algorithm for Optimal Node Positioning and Routing in Wireless Sensor Networks
    Saheb, Shaik Imam
    Khan, Khaleel Ur Rahman
    Bindu, C. Shoba
    INTERNATIONAL JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING SYSTEMS, 2022, 13 (07) : 515 - 523
  • [43] The modification of hybrid method of ant colony optimization, particle swarm optimization and 3-OPT algorithm in traveling salesman problem
    Hertono, G. F.
    Ubadah
    Handari, B. D.
    INTERNATIONAL CONFERENCE ON MATHEMATICS: PURE, APPLIED AND COMPUTATION, 2018, 974
  • [44] Ant Colony Clustering Algorithm Based on Swarm Intelligence
    Dong Liyan
    Zhang Sainan
    Tian Geng
    Li Yongli
    Cai Guanyan
    2013 6TH INTERNATIONAL CONFERENCE ON INTELLIGENT NETWORKS AND INTELLIGENT SYSTEMS (ICINIS), 2013, : 123 - 126
  • [45] A hybrid ant colony-particle swarm optimization method (ACOPSO) for aerospace propulsion systems
    Piskin, Altug
    Baklacioglu, Tolga
    Turan, Onder
    AIRCRAFT ENGINEERING AND AEROSPACE TECHNOLOGY, 2022, 94 (05): : 687 - 693
  • [46] A Hybrid Model of Particle Swarm Optimization and Continuous Ant Colony Optimization for Multimodal Functions Optimization
    Abadi, Moein Fazeli Hassan
    Rezaei, Hassan
    JOURNAL OF MATHEMATICS AND COMPUTER SCIENCE-JMCS, 2015, 15 (02): : 108 - 119
  • [47] Hybrid technique of ant colony and particle swarm optimization for short term wind energy forecasting
    Rahmani, Rasoul
    Yusof, Rubiyah
    Seyedmahmoudian, Mohammadmehdi
    Mekhilef, Saad
    JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS, 2013, 123 : 163 - 170
  • [48] Research on Vehicle Routing Planning Based on Adaptive Ant Colony and Particle Swarm Optimization Algorithm
    Chunyan Jiang
    Jingfang Fu
    Weiyan Liu
    International Journal of Intelligent Transportation Systems Research, 2021, 19 : 83 - 91
  • [49] STUDY ON CLOUD RESOURCE ALLOCATION STRATEGY BASED ON PARTICLE SWARM ANT COLONY OPTIMIZATION ALGORITHM
    Yang, Zhengqiu
    Liu, Meiling
    Xiu, Jiapeng
    Liu, Chen
    2012 IEEE 2nd International Conference on Cloud Computing and Intelligent Systems (CCIS) Vols 1-3, 2012, : 488 - 491
  • [50] The TSP solution for the supermarket chains supply route based on "Ant Colony - Particle Swarm" algorithm
    Lin, Chengcao
    Wu, Yaohua
    Lin, Yuhong
    2018 37TH CHINESE CONTROL CONFERENCE (CCC), 2018, : 3133 - 3138
12345