An optimum drill bit selection technique using artificial neural networks and genetic algorithms to increase the rate of penetration

• Main Authors: Momeni, M., Hosseini, S.J., Ridha, S., Laruccia, M.B., Liu, X.
• Format: Article
• Published: Taylor's University 2018
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041802992&partnerID=40&md5=433c9205b717f02473875d0f19d8d7cf; http://eprints.utp.edu.my/21803/

Drill bit is the most essential tool in drilling and drill bit selection plays a significant role in drilling process planning. This paper discusses bit selection by employing a method of combining Artificial Neural Network (ANN) and the computation of Genetic Algorithm (GA). In this method, offset...