Estimating Drilling Parameters for Diamond Bit Drilling Operations Using Artificial Neural Networks-Reference-Cited by-同舟云学术

Estimating Drilling Parameters for Diamond Bit Drilling Operations Using Artificial Neural Networks

Published:2008-01 Issue:1 Volume:8 Page:68-73
ISSN:1532-3641
Container-title:International Journal of Geomechanics
language:en
Short-container-title:Int. J. Geomech.

Author:

Akin Serhat¹²,Karpuz Celal¹²

Affiliation:

1. Associate Professor Doctor, Petroleum and Natural Gas Engineering Dept., Middle East Technical Univ., Inonu Bulvari 06531, Ankara, Turkey. E-mail: serhat@metu.edu.tr

2. Professor Doctor, Mining Engineering Dept., Middle East Technical Univ., Inonu Bulvari 06531, Ankara, Turkey. E-mail: karpuz@metu.edu.tr

Publisher

American Society of Civil Engineers (ASCE)

Subject

Soil Science

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%291532-3641%282008%298%3A1%2868%29

Reference16 articles.

1. Akun E. M. (1997). “Effect of operational parameters and formation properties on drillability in surface set diamond core drilling.” Ph.D. thesis Middle East Technical Univ. Ankara Turkey.

2. Corrosion and Stress-Corrosion Cracking of Aluminum Alloy Drillpipe in a Water-Based, Low-Solids, Nondispersed Drilling Mud

3. Deere D. U. and Deere D. W. (1989). “Rock quality designation (RQD) after twenty years.” Technical Rep. GL-89-1 U.S. Army Engineer Waterways Experiment Station Vicksburg Miss.

Cited by 52 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep Learning–Assisted Parameter Monitoring and Optimization in Rotary-Percussive Drilling;SPE Journal;2024-07-01

2. Increasing Drilling Efficiency: Rock Drillability Assessment with Improved Reliability Methods;2024-04-11

3. Performance analysis of drilling machines based on rock properties and machine’s specifications;Bulletin of Engineering Geology and the Environment;2024-01

4. Investigation of dynamic response of drilling parameters and deformation characteristics of coal around borehole during multi-stage reaming in tectonic coal;International Journal of Rock Mechanics and Mining Sciences;2023-10

5. Drilling operation optimization using machine learning framework;Geoenergy Science and Engineering;2023-09