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
  • [1] A hybrid particle swarm/ant colony algorithm for the classification of hierarchical biological data
    Holden, N
    Freitas, AA
    2005 IEEE SWARM INTELLIGENCE SYMPOSIUM, 2005, : 100 - 107
  • [2] Hybrid algorithm combining ant colony optimization algorithm with particle swarm optimization
    Gao Shang
    Jiang Xin-zi
    Tang Kezong
    Yang Jingyu
    2006 CHINESE CONTROL CONFERENCE, VOLS 1-5, 2006, : 481 - +
  • [3] A Hybrid Algorithm Based on Particle Swarm Optimization and Ant Colony Optimization Algorithm
    Lu, Junliang
    Hu, Wei
    Wang, Yonghao
    Li, Lin
    Ke, Peng
    Zhang, Kai
    SMART COMPUTING AND COMMUNICATION, SMARTCOM 2016, 2017, 10135 : 22 - 31
  • [4] A Hybrid Ant Colony/Particle Swarm Algorithm for Determination of Water Quality Parameter
    Shu, Jianhua
    2010 INTERNATIONAL CONFERENCE ON INFORMATION, ELECTRONIC AND COMPUTER SCIENCE, VOLS 1-3, 2010, : 1513 - 1516
  • [5] Hybrid ant colony algorithm for texture classification
    Zheng, H
    Wong, A
    Nahavandi, S
    CEC: 2003 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-4, PROCEEDINGS, 2003, : 2648 - 2652
  • [6] Ant colony and particle swarm optimization for financial classification problems
    Marinakis, Yannis
    Marinaki, Magdalene
    Doumpos, Michael
    Zopounidis, Constantin
    EXPERT SYSTEMS WITH APPLICATIONS, 2009, 36 (07) : 10604 - 10611
  • [7] Optimizing parameter of ant colony algorithm Based on particle swarm algorithm
    Yang YaNan
    You Jing
    2011 INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION AND INDUSTRIAL APPLICATION (ICIA2011), VOL II, 2011, : 245 - 248
  • [8] Optimizing parameter of ant colony algorithm Based on particle swarm algorithm
    Yang YaNan
    You Jing
    2010 THE 3RD INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND INDUSTRIAL APPLICATION (PACIIA2010), VOL VII, 2010, : 246 - 249
  • [9] Artificial immune systems for classification of petroleum well drilling operations
    Serapiao, Adriane B. S.
    Mendes, Jose R. P.
    Miura, Kazuo
    ARTIFICIAL IMMUNE SYSTEMS, PROCEEDINGS, 2007, 4628 : 47 - +
  • [10] Multiple colony ant algorithm based on particle swarm optimization
    Yu, Xue-Cai
    Zhang, Tian-Wen
    Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology, 2010, 42 (05): : 766 - 769
12345