Drilling Performance Management Through Reliability-Based Optimization

Uğurlu Ö. F. , Ozdemir B., Kumral M.

in: Engineering Assets and Public Infrastructures in the Age of Digitalization, Dr. Mengchu Huang,Priya Vyas,Swati Meherishi,Dr. Leontina Di Cecco, Editor, Springer, London/Berlin , Stavanger, pp.23-29, 2020

  • Publication Type: Book Chapter / Chapter Research Book
  • Publication Date: 2020
  • Publisher: Springer, London/Berlin 
  • City: Stavanger
  • Page Numbers: pp.23-29
  • Editors: Dr. Mengchu Huang,Priya Vyas,Swati Meherishi,Dr. Leontina Di Cecco, Editor


Mineral commodity prices have declined in recent years. This decline forces mining companies to find effective cost management strategies to sustain their operations. Otherwise, many operations will be ceased or suspended. Effective equipment utilization has strong potential to reduce operational costs. Furthermore, unexpected events or failures during the operation may not properly be considered in production scheduling. These contingencies affect the subsequent production process and cause operational delays; hence, the operation cost increases. Equipment condition is a key element to reach the desired production rate. This paper focuses on optimization of reliability parameters to improve the performance of the machine associated with its condition and calculation of drill bit consumption accordingly. Multiple input factors, such as operating parameters, operation time and maintenance time, were considered and controlled simultaneously to simulate drilling operation by stochastic modeling technique, using historical data. A case study was carried out using discrete event simulation (DES). Multiple simulations were used to quantify risk. The research outcomes show that the proposed approach can be used as a tool to assist in production scheduling and asset management.