Petroleum Engineering – Drilling
Application of an Adaptive Neuro-fuzzy Inference System and Mathematical Rate of Penetration Models to Predicting Drilling Rate

Hossein Yavari; Mohammad Sabah; Rassoul Khosravanian; David. A Wood

Volume 7, Issue 3 , July 2018, , Pages 73-100

http://dx.doi.org/10.22050/ijogst.2018.83374.1391

Abstract
  The rate of penetration (ROP) is one of the vital parameters which directly affects the drilling time and costs. There are various parameters that influence the drilling rate; they include weight on bit, rotational speed, mud weight, bit type, formation type, and bit hydraulic. Several approaches, including ...  Read More