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Volumn 31, Issue 3, 2005, Pages 263-275

Lithology identification of aquifers from geophysical well logs and fuzzy logic analysis: Shui-Lin Area, Taiwan

Author keywords

Aquifer characterization; Artificial intelligence; Groundwater; Hydrogeology; Soft computing

Indexed keywords

FUZZY SETS; GAMMA RAYS; GEOLOGY; GEOPHYSICAL PROSPECTING; GROUNDWATER; LITHOLOGY; WELL LOGGING;

EID: 13844270596     PISSN: 00983004     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cageo.2004.07.004     Document Type: Article
Times cited : (74)

References (14)
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    • Litho-facies and permeability prediction from electrical logs using fuzzy logic
    • S.J. Cuddy Litho-facies and permeability prediction from electrical logs using fuzzy logic SPE Reservoir Evaluation & Engineering 3 4 2000 319-324
    • (2000) SPE Reservoir Evaluation & Engineering , vol.3 , Issue.4 , pp. 319-324
    • Cuddy, S.J.1
  • 7
    • 13844299659 scopus 로고    scopus 로고
    • Estimation of aquifer's formation strength from well logging data
    • M.Sc. Thesis, National Cheng Kung University, Tainan, Taiwan (In Chinese)
    • Hsieh, B.Z., 1997. Estimation of aquifer's formation strength from well logging data. M.Sc. Thesis, National Cheng Kung University, Tainan, Taiwan, 134 pp (In Chinese)
    • (1997) , pp. 134
    • Hsieh, B.Z.1
  • 11
    • 0003853559 scopus 로고    scopus 로고
    • MATLAB Natick, MA: The MathWorks, Inc
    • MATLAB Fuzzy Logic Toolbox User's Guide 2001 The MathWorks, Inc. Natick, MA 217pp
    • (2001) Fuzzy Logic Toolbox User's Guide , pp. 217
  • 13
    • 0030151881 scopus 로고    scopus 로고
    • Application of petroleum geophysical well logging and sampling techniques for evaluating aquifer characteristics
    • T.J. Temples M.G. Waddell Application of petroleum geophysical well logging and sampling techniques for evaluating aquifer characteristics Ground Water 34 3 1996 523-531
    • (1996) Ground Water , vol.34 , Issue.3 , pp. 523-531
    • Temples, T.J.1    Waddell, M.G.2
  • 14
    • 0003515853 scopus 로고    scopus 로고
    • Englewood Cliffs, NJ: Control and Information. Prentice-Hall
    • J. Yen R. Langari Fuzzy Logic Intelligence 1999 Control and Information. Prentice-Hall Englewood Cliffs, NJ 548pp
    • (1999) Fuzzy Logic Intelligence , pp. 548
    • Yen, J.1    Langari, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.