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


ENGINEERING GEOLOGY, vol.173, pp.1-9, 2014 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 173
  • Publication Date: 2014
  • Doi Number: 10.1016/j.enggeo.2014.02.006
  • Title of Journal : ENGINEERING GEOLOGY
  • 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


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.