Understanding the Well Control Procedures for optimizing the Well Control System during Drilling

Authors

  • Muhammad Arsalan Sultan
  • Mazhar Ahmed
  •  Muzamil Ali
  •  Gul Zaman Babar

DOI:

https://doi.org/10.47672/ajce.1285

Keywords:

Well control, oil & gas drilling, blowout preventer, artificial intelligence, lost circulation drilling engineering, kick identification

Abstract

Well control is an essential part of any drilling operation. Improper well control procedure may result in blowout, and blowouts must be controlled to ensure a smooth drilling operation. The majority of well control incidents occur as a result of a failure to understand the fundamental principles involved. As a result, proper training and understanding are required for a drilling engineer. Every company in the world provides drilling engineers with training and an overview of various well control operations. The goal of taking well control as an engineering project is to think about and visualize the significance of well control in any drilling job. The purpose of this paper was to understand of well control procedures as well as the selection of the most effective well control system. The concurrent technique should only be utilized in exceptional circumstances; in the majority of occasions, the driller method is employed. However, if a suitable casing shoe is available, Wait & Weight method should also be used.

Downloads

Download data is not yet available.

Author Biographies

Muhammad Arsalan Sultan

Oil and Gas Development Company Limited, Pakistan

Mazhar Ahmed

Tianjin University, China

 Muzamil Ali

KEPCO Plant Services & Engineering Co. Ltd

 Gul Zaman Babar

Oil and Gas Development Company Limited, Pakistan

References

Z., Ansari, U., . H., Ahmed, I., & Ahmed, M. (2021). Developing Well Performance Analysis for Improving the pump capacity of Jet Pumps using SNAP software. International Journal of Current Engineering and Technology, 11(02), 168-172. https://doi.org/10.14741/ijcet/v.11.2.4

Aarushi, A. K. S., & Krishnakanth, V. V. (2021). A Review on Onshore Drilling for Oil and Gas Production with Its Safety Barriers and Well Control Methods. Advances in Environment Engineering and Management: Proceedings of the 1st National Conference on Sustainable Management of Environment and Natural Resource Through Innovation in Science and Technology, 29.

Abdali, M. R., Mohamadian, N., Ghorbani, H., & Wood, D. A. (2021). Petroleum well blowouts as a threat to drilling operation and wellbore sustainability: causes, prevention, safety and emergency response. Journal of Construction Materials| Special Issue on Sustainable Petroleum Engineering ISSN, 2652, 3752.

Ahmed, M., & Memon, M. K. (2018). Oil Production Optimization with Gas Lift Method. 8(6), 1628-1634.

Alpak, F. O. (2022). Simultaneous Optimization of Well Count and Placement: Algorithm, Validation, and Field Testing. SPE Journal, 1-26.

Anfinsen, B.-T., Mosti, I., & Szemat-Vielma, W. (2021). Well Control 4.0: Integration of a Transient Model in Automated Well Planning Workflows. SPE/IADC International Drilling Conference and Exhibition.

Ashena, R., Ghorbani, F., Mubashir, M., Nazari Sarem, M., & Iravani, A. (2021). The Root Cause Analysis and Successful Control of an Oilwell Blowout in the Middle East. Abu Dhabi International Petroleum Exhibition & Conference.

Atchison, B. (2022). Automated well control: A step change in safety. Digital Chemical Engineering, 3, 100022. https://doi.org/10.1016/J.DCHE.2022.100022

Atchison, B. W. (2021). Automated Well Control: From Automated Detection to Automated Shut-In. SPE/IADC Middle East Drilling Technology Conference and Exhibition.

Atchison, B. W., & Sarpangal, V. (2022). Automated Well Control Versus Traditional Well Control: A Human Error Comparison Process. IADC/SPE International Drilling Conference and Exhibition.

Atchison, B. W., & Wuest, C. (2021). The Integration of Managed Pressure Drilling MPD and Automated Well Control Technology. IADC/SPE Managed Pressure Drilling & Underbalanced Operations Conference & Exhibition.

Brohi, M., Ansari, U., Shams, B., Ahmed, M., & Soomro, Z. (2021). Optimizing the Residual Oil Recovery By Investigating the Influence of Sensitivity Analysis Over Injection Rate During Alkaline Surfactant Polymer ( Asp ) Flooding. 02, 800-807.

Chagas, F., Ribeiro, P. R., & Santos, O. L. A. (2021). Well Control Simulation With Nonaqueous Drilling Fluids. Journal of Energy Resources Technology, 143(3).

Chen, X., Yang, J., Gao, D., Huang, Y., Li, Y., Luo, M., & Li, W. (2018). Well Control for Offshore High-Pressure/High-Temperature Highly Deviated Gas Wells Drilling: How to Determine the Kick Tolerance? IADC/SPE Asia Pacific Drilling Technology Conference and Exhibition.

Cusworth, D. H., Duren, R. M., Thorpe, A. K., Pandey, S., Maasakkers, J. D., Aben, I., Jervis, D., Varon, D. J., Jacob, D. J., & Randles, C. A. (2021). Multisatellite imaging of a gas well blowout enables quantification of total methane emissions. Geophysical Research Letters, 48(2), e2020GL090864.

Echeverría Ciaurri, D., Moreno Beltrán, G. A., Camacho Navarro, J., & Prada Mejía, J. A. (2021). Improved Well-Control Progressive Optimization with Generalized Barycentric Coordinates and Manifold Mapping. SPE Reservoir Evaluation & Engineering, 24(04), 940-951.

Elgibaly, A. (2019). Well control during drilling and workover operations. Journal of Petroleum and Mining Engineering, 21(1), 104-120.

Eren, T. (2018). Kick tolerance calculations for drilling operations. Journal of Petroleum Science and Engineering, 171, 558-569.

Feo, G., Sharma, J., Santos, O., Williams, W., & Ogunsanwo, T. (2020). Multiphase flow characterization and modeling using distributed fiber optic sensors to prevent well blowout. Optics and Photonics for Sensing the Environment, EM3C-5.

Francis, M., & Ogbeide, P. O. (2021). Analysis on the Impact of Losses of Well Control During Offshore Drilling. Journal of Emerging Trends in Engineering and Applied Sciences (JETEAS), 12(4), 109-113.

Graham, R., Cadd, M., Theresia, A., & Polkinghorne, J. (2022). Kick Tolerance Ë"”A Risk-Based Strategy to Enhance Well Control in Narrow Margin Wells. SPE/IADC Managed Pressure Drilling & Underbalanced Operations Conference & Exhibition.

Jahanpeyma, Y., & Jamshidi, S. (2018). Two-phase Simulation of Well Control Methods for Gas Kicks in Case of Water and Oil-based Muds. Journal of Petroleum Science and Technology, 8. https://doi.org/10.22078/jpst.2018.2834.1471

Khan, J. A., Irawan, S., Thurai, A. S., & Cai, B. (2021). Quantitative analysis of blowout preventer flat time for well control operation: Value added data aimed at performance enhancement. Engineering Failure Analysis, 120, 104982.

Li, C., Jin, Y., Guan, Z., Dang, Z., Jin, J., & Zhang, B. (2021). New quantitative risk prediction method of deepwater blowout: Case study of Macondo well accident. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 1-20.

Liu, Z., Ma, Q., Cai, B., Liu, Y., & Zheng, C. (2021). Risk assessment on deepwater drilling well control based on dynamic Bayesian network. Process Safety and Environmental Protection, 149, 643-654.

Mallah, Z. A., Khan Memon, M., Ahmed, M., Brohi, M., & Liaquat Arain, A. (2021). Dry Gas Reservoir Management With Integrated Asset Modeling Approach. International Research Journal of Modernization in Engineering Technology and Science, 03, 2582-5208. www.irjmets.com

Muhammad, M. J. U., Shaarawi, A., Iturrios, C., & Kadadha, A. (2022). Reducing Rig Days & Optimizing Overall Drilling Process by Implementing Managed Pressure Drilling Technique in Unconventional Reservoir Field. SPE Symposium: Unconventionals in the Middle East-From Exploration to Development Optimisation.

Muneer, S., Zubair, M., Ali, M., Rehman, H. U., & Ahmed, M. (2021). Enhancement of Oil Recovery By Using Wag-Co2 Injection in Heterogeneous Reservoir. 03, 904-913.

Nasir, Y., & Durlofsky, L. J. (2022). Deep reinforcement learning for optimal well control in subsurface systems with uncertain geology. ArXiv Preprint ArXiv:2203.13375.

Nedwed, T., & Mitchell, D. (2021). Advanced Well Control Reduces Risk of a Blowout. International Oil Spill Conference, 2021(1), 687221.

Nissanka, I. D., & Yapa, P. D. (2016). Calculation of oil droplet size distribution in an underwater oil well blowout. Journal of Hydraulic Research, 54(3), 307-320.

Raza, M. A., Salehi, S., Ghazal, S., Ybarra, V. T., Naqvi, S. A. M., Cokely, E. T., & Teodoriu, C. (2019). Situational awareness measurement in a simulation-based training framework for offshore well control operations. Journal of Loss Prevention in the Process Industries, 62, 103921.

Ruzhnikov, A., & Yurtaev, V. (2021). Risk Management Approach: Drilling and Completion Projects. SPE Russian Petroleum Technology Conference.

Salehian, M., Sefat, M. H., & Muradov, K. (2022). A robust, multi-solution framework for well placement and control optimization. Computational Geosciences, 26(4), 897-914.

Sule, I., Imtiaz, S., Khan, F., & Butt, S. (2019). Risk analysis of well blowout scenarios during managed pressure drilling operation. Journal of Petroleum Science and Engineering, 182, 106296.

Thorogood, J., Robertson, E., Castillo, D., & Sawaryn, S. (2022). An Assessment of the Kick Tolerance Calculation, its Uncertainty and Sensitivity. IADC/SPE International Drilling Conference and Exhibition.

Vajargah, A., Buranaj Hoxha, B., & van Oort, E. (2014). Automated Well Control Decision-Making during Managed Pressure Drilling Operations. Society of Petroleum Engineers - SPE Deepwater Drilling and Completions Conference 2014. https://doi.org/10.2118/170324-MS

Van Noort, R., Spriggs, P., & Arseneault, L. (2022). Influx Management Decision Tree for Deep Water Managed Pressure Drilling Operations with a Below Tension Ring Surface Back Pressure System. IADC/SPE International Drilling Conference and Exhibition.

Wen, Y., Wei, P., Ding, J., & Zhao, L. (2021). Study on well control and killing in deep well drilling. IOP Conference Series: Earth and Environmental Science, 859(1). https://doi.org/10.1088/1755-1315/859/1/012059

Downloads

Published

2022-11-21

How to Cite

Sultan, M. A. ., Ahmed, M. ., Ali, Muzamil., & Babar, GulZ. (2022). Understanding the Well Control Procedures for optimizing the Well Control System during Drilling. American Journal of Computing and Engineering, 5(2), 24–38. https://doi.org/10.47672/ajce.1285