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Volumn , Issue , 2011, Pages 45-55

Real-time drilling parameter optimization system increases ROP by predicting/managing bit wear

Author keywords

[No Author keywords available]

Indexed keywords

INFILL DRILLING; LITHOLOGY; NEURAL NETWORKS; OIL WELLS; PERSONNEL; WEAR OF MATERIALS;

EID: 79959986207     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.2118/142880-ms     Document Type: Conference Paper
Times cited : (24)

References (14)
  • 5
    • 79953097864 scopus 로고    scopus 로고
    • Artificial Neural Networks and High-Speed Resistivity Modeling... Powerful New Exploration and Development Tools
    • Arbogast, J.S., Franklin, M.H.: "Artificial Neural Networks and High-Speed Resistivity Modeling ... Powerful New Exploration and Development Tools" Hart's Petroleum Engineer International Magazine, May/June, 1999.
    • (1999) Hart's Petroleum Engineer International Magazine , Issue.MAY-JUNE
    • Arbogast, J.S.1    Franklin, M.H.2
  • 7
    • 0029228674 scopus 로고    scopus 로고
    • Predicting Production Using a Neural Network (Artificial Intelligence Beats Human Intelligence)
    • paper SPE 30202 presented at the
    • Boomer, R.J.: "Predicting Production Using a Neural Network (Artificial Intelligence Beats Human Intelligence)" paper SPE 30202 presented at the SPE Petroleum Computer Conference, Houston, Texas, 11-14 June, 1995.
    • SPE Petroleum Computer Conference, Houston, Texas, 11-14 June, 1995
    • Boomer, R.J.1
  • 13
    • 79953074735 scopus 로고    scopus 로고
    • Method for Determining Preferred Drill Bit Design Parameters and Drilling Parameters Using a Trained Artificial Neural Network, and Methods for Training the Artificial Neural Network
    • US Patent 6,424,919 B1, July 23
    • Moran, D.P., Robertson, J.A.: "Method for Determining Preferred Drill Bit Design Parameters and Drilling Parameters Using a Trained Artificial Neural Network, and Methods for Training the Artificial Neural Network" US Patent 6,424,919 B1, July 23, 2002.
    • (2002)
    • Moran, D.P.1    Robertson, J.A.2
  • 14
    • 79959942900 scopus 로고    scopus 로고
    • Neural Net for Use in Drilling Simulation
    • US Patent Application Publication 0262810 A1, October 23
    • Moran, D.P., Frenzel, M.P., Duncan, R.: "Neural Net for Use in Drilling Simulation" US Patent Application Publication 0262810 A1, October 23, 2008.
    • (2008)
    • Moran, D.P.1    Frenzel, M.P.2    Duncan, R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.