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Volumn , Issue , 2003, Pages 27-35

Identification of Contaminanted Data in Hydraulic Fracturing Databases: Application to the Codell Formation in the DJ Basin

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CATCHMENTS; CONTAMINATION; DATA ACQUISITION; DATABASE SYSTEMS; ITERATIVE METHODS; OIL WELL PRODUCTION; PETROLEUM RESERVOIRS; QUALITY CONTROL; WELL DRILLING; ALGORITHMS; DATA MINING; FUZZY SETS; NEURAL NETWORKS; OIL FIELDS; PROBLEM SOLVING;

EID: 1842471137     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.2118/83446-ms     Document Type: Conference Paper
Times cited : (13)

References (6)
  • 1
    • 1142278751 scopus 로고    scopus 로고
    • Identification of Successful Practices in Hydraulic Fracturing Using Intelligent Data Mining Tool; Application to the Codell Formation in the DJ-Basin
    • SPE 77597, 29 September -2 October, San Antonio, Texas
    • Mohaghegh, S., Popa, A., Gaskari, R., Ameri, S., and Wolhart, S.: Identification of Successful Practices in Hydraulic Fracturing Using Intelligent Data Mining Tool; Application to the Codell Formation in the DJ-Basin", SPE 77597, Proceedings, 2002 SPE Annual Technical Conference and Exibition, 29 September -2 October, San Antonio, Texas.
    • Proceedings, 2002 SPE Annual Technical Conference and Exibition
    • Mohaghegh, S.1    Popa, A.2    Gaskari, R.3    Ameri, S.4    Wolhart, S.5
  • 2
    • 85054083818 scopus 로고    scopus 로고
    • Neural Networks: A New Tool for the Petroleum Industry?
    • SPE 27561 presented at the, Aberdeen, U.K., March 15-17
    • Ali, J.K.: "Neural Networks: A New Tool for the Petroleum Industry?," SPE 27561 presented at the 1994 European Petroleum Computer Conference, Aberdeen, U.K., March 15-17.
    • 1994 European Petroleum Computer Conference
    • Ali, J.K.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.