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

  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

A New Method of Earlier Kick Assessment Using ANFIS

Fatemeh Deregeh; Milad Karimian; Hossein Nezmabadi-Pour

Volume 2, Issue 1 , January 2013, , Pages 33-41

  The late detection of the kick (the entrance of underground fluids into oil wells) leads to oil well blowouts. It causes human life loss and imposes a great deal of expenses on the petroleum industry. This paper presents the application of adaptive neuro-fuzzy inference system designed for an earlier ...  Read More