Journals / Natural and Engineering Sciences / 2018 / Volume: 3 Issue: 3

Correlating Rate of Penetration with the Weigth on Bit, Rotation per Minute, Flow Rate and Mud Weight of Rotary Drilling

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Publication Date
2018-10-10
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

On the other hand, it was determined that there was no any relationship between rate of penetration and weight on bit.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this study, the effect of some drilling parameters, rotation per minute, weight on bit, flow rate and mud weight on rate of penetration, were investigated in detail.
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Key Findings & Data:As a result, the rate of penetration was found between 1,79m/h and 14,80m/h, which have a good statistical relationship with the rotation per minute, flow rate and mud weight.
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Conclusion & Impact:On the other hand, it was determined that there was no any relationship between rate of penetration and weight on bit.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Rate of penetration · Weigth on bit · Rotation per minute

Abstract

In this study, the effect of some drilling parameters, rotation per minute, weight on bit, flow rate and mud weight on rate of penetration, were investigated in detail. As a result, the rate of penetration was found between 1,79m/h and 14,80m/h, which have a good statistical relationship with the rotation per minute, flow rate and mud weight. On the other hand, it was determined that there was no any relationship between rate of penetration and weight on bit.

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Cite This Article

Erdoğan, Y., Yıldız, M. İ., Kök, O. E. (2018). Correlating Rate of Penetration with the Weigth on Bit, Rotation per Minute, Flow Rate and Mud Weight of Rotary Drilling. Natural and Engineering Sciences, Volume: 3 Issue: 3. https://doi.org/10.28978/nesciences.469298

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References (20)

  1. Annudeep, S.D. (2012). Rheological Properties & Carrosion Characteristics of Mud Additives. Dalhousive University.
  2. Babür, E. & Özüdoğru, S. (2014). Geothermal Fluid Production and Re-Injection Wells. Seminar of Geothermal Energy. (In Turkish)
  3. Bharadwajç, A.M. & Vinayaka, S. (2013). Drilling Optimization: A Review. International Journal on Theoretical and Applied Research in Mechanical Engineering.
  4. Bourgoyne, A.T., Millheim, K.K., Chenevert, M.E. & Young, F.S. (1991). Applied Drilling Engineering. Society of Petroleum Engineers, USA.
  5. Chen, J. & Yue, Z.Q. (2016). Weak zone characterization using full drilling analysis of rotarypercussive instrumented drilling. International Journal of Rock Mechanics and Mining Sciences, 89, 227-234.
  6. Bataee, M., Irawan, S. & Kamyab, M. (2014). Artificial Neural Network Model for Prediction of Drilling Rate of Penetration and Optimization of Parameters. Journal of the Japan Petroleum Institute, 57(2), 65-70.
  7. Ettehadi, A. (2007). Rate of Penetration Estimation Model for Directional and Horizontal Wells. A Thesis Submitted to The Graduate School of Natural And Applied Sciences of Middle East Technical University.
  8. Hapnes, M. (2014). Drilling in Salt Formations and Rate of Penetration Modelling. Norwegian University of Science and Technology, Department of Petroleum Engineering and Applied Geophysics. Norway.
  9. Gumati, A., Takahashi, H. & Giwelli, A.A. (2013). effect of drilling rotation on cuttings transport during horizontal foam drilling. Journal of the Japan Petroleum Institute, 56(4), 230-235.
  10. Kallantari, S., Hashemolhosseini, H. & Baghbanan, A. (2018). Estimating rock strength parameters using drilling data. International Journal of Rock Mechanics and Mining Sciences, 104, 45- 52.
  11. Kök, O.E., Tanrıverdi, İ. & Erdoğan, Y. (2018). Usage of Vermiculite as Additive Material in Water-Based Drilling Muds. Natural and Engineering Sciences, 3(2), 179-186.
  12. Kuang, Y., Luo, J., Wang, F., Yang, Y., Li, S. & Zhang, L. (2017). Research and Application of a New Polycrystalline-Diamond-Compact Bit With Suction-Type Minicore Drills. Society of Petroleum Engineers.
  13. Mahasneh, A. (2017). Optimization Drilling Parameters Performance During Drilling in Gas Wells Mehaysen. Al-Balq'a Applied University, Jordan. Mahmoud, O., Nasr-El-Din, H. A., Vryzas, Z. & Kelessidis, V. C. (2018). Using Ferric Oxide and Silica Nanoparticles To Develop Modified Calcium Bentonite Drilling Fluids. Society of Petroleum Engineers.
  14. Miyora, T., Jónsson, M. & Þórhallsson S. (2015). Modelling and Optimization of Geothermal Drilling Parameters-A Case Study of Well MW-17 in Menengai Kenya. Fourtieth Workshop on Geothermal Reservoir Engineering.
  15. Morton, T. D & Arnold M.W. (1993). Development Geology Reference Manual. The American Association of Petroleum Geologist. Mutlu, M., Wassar, T., Franchek, M. A., Omrani, A. E. & Gutierrez, J. A. (2018). Real-Time Condition and Performance Monitoring of a Subsea Blowout Preventer Pipe Ram. Society of Petroleum Engineers.
  16. Olsen, J. J., Hemmingsen, C. S., Bergmann, L., Nielsen, K. K., Glimberg, S. L. & Walther, J. H. (2017). Characterization and Erosion Modeling of a Nozzle-Based Inflow-Control Device. Society of Petroleum Engineers.
  17. Paiaman, A.M., Ghassem, Al-Askari, M.K., Salmani, B., Al-Anazi, B.D. & Masihi, M. (2009). Effect of Drilling Fluid Properties on Rate of Penetration. NAFTA, 60 (3) 129-134.
  18. Pedersen, T. & Godhavn, J.M. (2017). Linear Multivariable Control of Underbalanced-Drilling Operations. Society of Petroleum Engineers.
  19. Tuna, E. (2010). Real-Time-Optimization of Drilling Parameters During Drilling Operations. A thesis submitted to the graduate school of natural and applied sciences of Middle East Technical Unversity.
  20. Xiao, Y., Hurich, C. & Butt, S.D. (2018). Assessment of rock-bit interaction and drilling performance using elastic waves propagated by the drilling system. International Journal of Rock Mechanics and Mining Sciences, 105, 11-21.