Title: Usage and Future of Intelligent Systems in Drilling Technology

Abstract: The drilling operations has had an important place in accessing natural resources and energy production since ancient times. From the past to the present, advances in both the number and methods of drilling activities have been continuously experienced with primitive and modern technologies. Drilling technologies have undergone great changes since their historical development and have reached a new dimension especially with digital transformation and continue to develop with advanced technology. The integration of intelligent systems into drilling operations has made drilling processes more efficient, safe and cost-optimized. Artificial intelligence, machine learning, big data analytics, digital twins and autonomous system technologies provide great convenience compared to traditional methods. In this study, smart drilling systems are investigated in detail; the fundamentals, working principles, components, advantages, current applications and future potential of these systems are examined.

Keywords: Intelligent systems, drilling, energy, petroleum and natural gas

• Pal Roy, P. (2021). Emerging trends in drilling and blasting technology: concerns and commitments. Arabian Journal of Geosciences, 14(7), 652.
• Guan, Z., Chen, T., Liao, H. (2021). Theory and Technology of Drilling Engineering (Vol. 789). Berlin, Germany: Springer.
• Lukawski, M. Z., Anderson, B. J., Augustine, C., Capuano Jr, L. E., Beckers, K. F., Livesay, B., Tester, J. W. (2014). Cost analysis of oil, gas, and geothermal well drilling. Journal of Petroleum Science and Engineering, 118, 1-14.
• Wang, H., Huang, H., Bi, W., Ji, G., Zhou, B., Zhuo, L. (2022). Deep and ultra-deep oil and gas well drilling technologies: Progress and prospect. Natural Gas Industry B, 9(2), 141-157.
• Lefèvre, N. (2010). Measuring the energy security implications of fossil fuel resource concentration. Energy policy, 38(4), 1635-1644.
• Rixiang, Z., Zhijun, J., Qingyun, D., ChangChun, Y. A. N. G., WenXuan, C. H. E. N., Fei, T. I. A. N., WenXiu, Z. H. A. N. G. (2023). Research and progress of intelligent drilling technology system and related theories. Chinese Journal of Geophysics, 66(1), 1-15.
• Bello, O., Holzmann, J., Yaqoob, T., Teodoriu, C. (2015). Application of artificial intelligence methods in drilling system design and operations: a review of the state of the art. Journal of Artificial Intelligence and Soft Computing Research, 5(2), 121-139.
• Poteriailo, L., Sheketa, V., Romanyshyn, Y., Krot, P. (2023). Data optimization for the knowledge bases in the oil and gas Monitoring- While-Drilling (MWD) Systems. In IOP Conference Series: Earth and Environmental Science (Vol. 1189, No. 1, p. 012021). IOP Publishing.
• Isheyskiy, V., Sanchidrián, J. A. (2020). Prospects of applying MWD technology for quality management of drilling and blasting operations at mining enterprises. Minerals, 10(10), 925.
• Morooka, C. K., Guilherme, I. R., Mendes, J. R. (2001). Development of intelligent systems for well drilling and petroleum production. Journal of Petroleum Science and Engineering, 32(2-4), 191-199.
• Rahmanifard, H., Plaksina, T. (2019). Application of artificial in- telligence techniques in the petroleum industry: a review. Artificial Intelligence Review, 52(4), 2295-2318.
• Bahaloo, S., Mehrizadeh, M., Najafi-Marghmaleki, A. (2023). Review of application of artificial intelligence techniques in petroleum opera- tions. Petroleum Research, 8(2), 167-182.
• Liu, N., Zhang, D., Gao, H., Hu, Y., Duan, L. (2021). Real-time measurement of drilling fluid rheological properties: A review. Sensors, 21(11), 3592.
• Kokkinis, A., Frantzis, T., Skordis, K., Nikolakopoulos, G., Kous- toumpardis, P. (2024). Review of Automated Operations in Drilling and Mining. Machines, 12(12), 845.
• Sircar, A., Yadav, K., Rayavarapu, K., Bist, N., Oza, H. (2021). Application of machine learning and artificial intelligence in oil and gas industry. Petroleum Research, 6(4), 379-391.
• Sircar, A., Nair, A., Bist, N., Yadav, K. (2023). Digital twin in hydrocarbon industry. Petroleum Research, 8(2), 270-278.
• Sharma, S. K., Rani, A., Bakhariya, H., Kumar, R., Tomar, D., Ghosh,
• S. (2024). The Role of IoT in Optimizing Operations in the Oil and Gas Sector: A Review. Transactions of the Indian National Academy of Engineering, 9(2), 293-312.
• Teodoriu, C., Bello, O. (2021). An outlook of drilling technologies and innovations: Present status and future trends. Energies, 14(15), 4499.