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

BASARIR H., TUTLUOĞLU L., KARPUZ C.

ENGINEERING GEOLOGY, vol.173, pp.1-9, 2014 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 173
  • Publication Date: 2014
  • Doi Number: 10.1016/j.enggeo.2014.02.006
  • Journal Name: ENGINEERING GEOLOGY
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.1-9
  • Keywords: 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
  • Middle East Technical University Affiliated: Yes

Abstract

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.