Muthanna Journal of Engineering and Technology
Volume (14), Issue (1), Year (2026), Pages (7-14)
DOI:10.52113/3/eng/mjet/2026-14-01-/7-14
Research Article By:
Amel H. Assi , Zena F. Rasheed
Corresponding author E-mail:amel@coeng.uobaghdad.edu.iq
ABSTRACT
Artificial intelligence (AI) is process of the pressure management in the oil and gas industry. With its capability to deliver real-time checking, extrapolative analytics, and automated control, AI not only considerably enhances security, but also efficiently lowers costs and make the most of production efficiency. As operatives strive for more well-organized and cost-effective approaches, integrating advanced techniques. AI’s capacity to examine vast amounts of data, predict outcomes, and suggestion real-time solution enhances efficiency, lowers operating cost, and recovers reservoir performance. AI is significantly impacting the energy sector, with potential for further growth. The Middle East has appeared as a key region for improvement and testing of AI systems in the oil and gas industry. RoboWell attitudes at the forefront of novelty well control system. By joining the power of cloud-based AI algorithms, it not only activates wells efficiently but also animatedly self- adjusts to developing conditions in real-time. That advanced system guarantees optimal performance and reliability, revolutionizing how wells are accomplished. Finally, the results show that using python codes and variables aid to control pressures in oil wells and predict kick problem by using driller methods and wait and weight method. Detecting kick type is an important step, in other words (1-2) ppg is gas, (6-8) ppg is oil and (8.6-9) ppg is salt. Shutting Drill Pipe pressure(SIDPP) and Shutting Casing Pressure (SICP) are an important factor through killing, where the study found that it’s safe to keep SICP greater than SIDPP and SICP should be less than 70% from casing burst resistance.
Keywords:
Pressure, Well control, Artificial Intelligence, Management, Performance.