Penetration rate prediction for diamond bit drilling by adaptive neuro-fuzzy inference system and multiple regressions

BASARIR H., TUTLUOĞLU L., KARPUZ C.

ENGINEERING GEOLOGY, cilt.173, ss.1-9, 2014 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 173
  • Basım Tarihi: 2014
  • Doi Numarası: 10.1016/j.enggeo.2014.02.006
  • Dergi Adı: ENGINEERING GEOLOGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.1-9
  • Anahtar Kelimeler: Diamond bit drilling, Penetration rate, Multiple regression modeling, Adaptive Neuro-fuzzy Inference System, Modeling, UNIAXIAL COMPRESSIVE STRENGTH, MACHINE PERFORMANCES, ROCK, MODEL, DRILLABILITY, SANDSTONES, OPERATIONS, ANFIS
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

In many mining, civil, and petroleum engineering applications diamond bit drilling is widely used due to high penetration rate, core recovery and its ability to drill with less deviation. Recently, many research have been conducted to estimate the penetration rate of diamond drilling which can be considered as one of the most important parameters in project planning and cost estimation of the operation.