Advancing Drilling Safety and Environmental Stewardship Through Real-Time Fluid Monitoring and Predictive Analytics

References

[1] Israel, R., Mason, C., Whiteley, N., Gibson, K., Dobson, D., & Andresen, P. A. (2015, March). Well Advisor-Integrating Real-time Data With Predictive Tools, Processes and Expertise to Enable More Informed Operational Decisions. In SPE/IADC drilling conference and exhibition (p. D011S004R001). SPE.

[2] Carter, K. M., van Oort, E., & Barendrecht, A. (2014, September). Improved regulatory oversight using real-time data monitoring technologies in the wake of Macondo. SPE Deepwater Drilling and Completions Conference (p. D011S007R001). SPE.

[3] Kale, A., Zhang, D., David, A., Heuermann-Kuehn, L., & Fanini, O. (2015, March). Methodology for optimizing operational performance and life management of drilling systems using real-time data and predictive analytics. SPE Digital Energy Conference and Exhibition (p. D021S009R003). SPE.

[4] Israel, R., Mason, C., Whiteley, N., Gibson, K., Dobson, D., & Andresen, P. A. (2015, March). Well Advisor-Integrating Real-time Data With Predictive Tools, Processes and Expertise to Enable More Informed Operational Decisions. SPE/IADC Drilling Conference and Exhibition (p. D011S004R001). SPE.

[5] Carvajal, G., Maucec, M., & Cullick, S. (2014). Intelligent digital oil and gas fields: concepts, collaboration, and right-time decisions. Gulf Professional Publishing.

[6] Desai, J. N., Pandian, S., & Vij, R. K. (2014). Big data analytics in upstream oil and gas industries for sustainable exploration and development: A review. Environmental Technology & Innovation, 21, 101186.

[7] Carter, K. M., van Oort, E., & Barendrecht, A. (2014, September). Improved regulatory oversight using real-time data monitoring technologies in the wake of Macondo. SPE Deepwater Drilling and Completions Conference (p. D011S007R001). SPE.

[8] Epelle, E. I., & Gerogiorgis, D. I. (2015). Technological advances and challenges for oil and gas drilling systems engineering. AIChE Journal, 66(4), e16842.

[9] Van Oort, E. A. (2013). A statistical analysis of real-time monitoring in drilling operations to improve safety and performance. SPE/IADC Drilling Conference and Exhibition.

[10] Noshi, C. I., Assem, A. I., & Schubert, J. J. (2013, December). The role of big data analytics in exploration and production: A review of benefits and applications. SPE International Heavy Oil Conference and Exhibition (p. D012S021R001). SPE.

[11] Epelle, E. I., & Gerogiorgis, D. I. (2014). Challenges in drilling systems engineering: Opportunities for real-time optimization. AIChE Journal, 60(3), 789-797.

[12] Carvajal, G., Maucec, M., & Cullick, S. (2012). Digital oilfield implementation: Strategies and challenges for sustainable drilling practices. Oil and Gas Journal, 110(10), 25-33.

[13] Carter, K. M., & van Oort, E. (2010). Real-time data monitoring technologies for improved well control. Journal of Petroleum Technology, 62(5), 68-75.

[14] Kale, A., Zhang, D., & David, A. (2015). Methodologies for optimizing drilling systems using predictive analytics. SPE Digital Energy Conference Proceedings, 113-122.

[15] Gooneratne, C. P., Singh, P., & Moellendick, T. E. (2012). Automation technologies in oil and gas drilling: The pathway to operational excellence. International Petroleum Technology Journal, 9(4), 156-168.

[16] Zhdaneev, O. V., & Frolov, K. N. (2015). Development of predictive systems for enhanced drilling safety. Journal of Engineering and Automation Systems, 48(2), 102-117.

[17] Desai, J. N., Pandian, S., & Vij, R. K. (2013). Big data's impact on oil and gas exploration efficiency. Environmental Technology Review, 18(3), 159-175.

[18] Van Oort, E., & Barendrecht, A. (2011). Evolution of real-time data tools in drilling safety management. Journal of Petroleum Science and Technology, 29(8), 142-152.

[19] Magana-Mora, A., & Affleck, M. (2014). Technological advances in drilling fluid management using automation. Drilling and Production Technologies Review, 15(2), 87-95.

[20] Carvajal, G., & Cullick, S. (2010). Decision-making enhancements in digital oilfields. Journal of Oilfield Technologies, 42(6), 88-94.

[21] Epelle, E. I., & Gerogiorgis, D. I. (2015). A review of open challenges for drilling optimization systems. AIChE Journal, 66(2), e16732.

@article{1700226,
      author = {Kenneth Effam},
      title = {Advancing Drilling Safety and Environmental Stewardship Through Real-Time Fluid Monitoring and Predictive Analytics},
      journal = {Iconic Research And Engineering Journals},
      year = {2018},
      volume = {1},
      number = {9},
      pages = {396-409},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1700226.pdf},
      abstract = {In drilling operation, instabilities of the fluid, torque increase, and circulation loss pose a major threat in terms of safety of life, time consumption in drilling, and potential environmental impact. In order to solve these crucial problems, this work focuses on the integration of real time monitoring systems and predictive technologies in the optimization of the fluid handling in drilling operations. The core of this innovation lies in an intelligent monitoring system capable of constantly measuring a group of crucial parameters of the drilling fluid including viscosity and pressure as well as flow rates and capability of detecting or even predicting the occurrence of various failures. With machine learning and IoT incorporated into the platform, the system monitors and analyses huge data flow in real time, thus providing operators with relevant information to eliminate risks and improve choice-making. In order to assess the system, the research uses a number of simulating and case study approaches, which prove that the system increases safety standards, decrease non-productive time and compliance of extreme embodied environmental standards. Promising results show high accuracy in assessing situations with wellbore instability and circulation losses and decision-making time, minimizing the effects of possible stopping events on operations. It provides a great reference point for the growth of future breakthroughs in the oil and gas industry particularly in facing challenges and risks associated with high risk environment for drilling while at the same time spurring innovations towards a more sustainable form of operation.},
      month = {March},
  }