Abstract Reservoir characterization in structurally and stratigraphically complex settings is often limited by the turnaround time and assumptions of conventional seismic inversion. Low-frequency model construction, wavelet estimation, phase uncertainty, and smoothing can materially influence the resulting elastic volu...
Å. Heir, S. Aghayev, A. Cosson· Abu Dhabi International Petr...· 0 citations
Original title: «Жасанды интеллект: терең оқыту» оқу курсында YOLO, ResNet және RT-DETR нейрондық желілерін оқытудың әдістемелік ерекшеліктері This article examines the methodological features of teaching ResNet, YOLO, and RT-DETR neural networks within the educational course "Artificial Intelligence: Deep Learning" de...
Olzhas Kenzhebek· Zenodo (CERN European Organi...· 0 citations
Abstract Stuck pipe remains a major drilling challenge, causing significant non-productive time (NPT), increased costs, and operational risks. This paper presents an artificial intelligence (AI)-based framework for early prediction of stuck pipe events using real-time drilling data to enable proactive risk mitigation....
Ahmed. Talhaoui, Alauddin Mohamed Abou Draz, Saleh Salem Al Ameri et al.· Abu Dhabi International Petr...· 0 citations
Abstract Carbonate reservoirs exhibit complex petrophysical behavior arising from heterogeneity, uneven core coverage and variable log data quality. These challenges significantly limit the scalability and repeatability of conventional petrophysical workflows, particularly when extended to large well populations. To ad...
Muhammad Faisal, Russell Farmer, Jahan Ahmed et al.· Abu Dhabi International Petr...· 0 citations
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Abstract Production surveillance is fundamental to sustaining reservoir performance, optimizing production, and enabling informed operational decision-making across large upstream assets. Conventional well-testing programs, however, remain highly dependent on manual initiation, operator experience, continuous monitorin...
M. S. Ahmed, Farooq Haider, A. Alghfeli et al.· Abu Dhabi International Petr...· 0 citations
Abstract Equipment breakdowns in the oil and gas (O&G) industry are costly and disruptive, both financially and operationally. Predictive maintenance powered by artificial intelligence (AI) can help prevent these breakdowns, but most AI solutions rely on the cloud — which is often impractical at O&G sites because of da...
R. Joshi, S. Ghosh, P. Kulkarni et al.· Abu Dhabi International Petr...· 0 citations
Abstract The integration of artificial intelligence into controlled environment agriculture represents a transformative opportunity for addressing global food security challenges while promoting sustainable resource utilisation. This paper presents a comprehensive Reinforcement Learning (RL) framework for optimizing gr...
Priyanshi Kumari, Hamed Laouz, Shahana Bano· Research Square· 0 citations
Abstract Well-casing integrity management is critical for the safe and reliable operation of oil and gas wells. High-resolution Magnetic Flux Leakage (MFL) inspection systems generate large volumes of circumferential casing inspection data that must be analyzed to identify corrosion defects and assess well integrity. H...
Shejuti Silvia, Fathima Abdul Razak, Ted Furlong· Abu Dhabi International Petr...· 0 citations
Abstract Major Accident Hazard (MAH) risk in oil and gas assets rarely arises from the failure of a single component, equipment item or barrier. Instead, risk emerges cumulatively when maintenance deferrals, operational constraints, inspection findings, integrity anomalies, temporary repairs and project activities inte...
Kevin Stewart, Keerthi Prasad· Abu Dhabi International Petr...· 0 citations
Abstract Gas processing facility that processes sour feeds, CO2 removal is required to meet pipeline specifications for the natural gas transmission pipeline. The separation is particularly challenging when high CO2 streams must be to processed. The present study does not consider alternative separation technologies, b...
Muhammad Numair, Omair Ismail Paracha· Abu Dhabi International Petr...· 0 citations
Abstract This paper presents the development, enhancement, and operational deployment of IDEAL—the platform to Identify, Discuss, Enhance, Assure and Learn—Petroleum Development Oman's digital auditing platform for Level 2 and Level 3 audits. Introduced in 2022, IDEAL was developed to transform conventional auditing pr...
Mohamed Shahdad Al Balushi, Rutmer Schuurmans, Taosen Xiao et al.· Abu Dhabi International Petr...· 0 citations
Abstract Artificial Intelligence (AI) is playing an increasingly pivotal role in transforming production optimization within the oil and gas industry by enabling data-driven and near real time decision-making. In gas-lifted wells, where injection gas is often a constrained and valuable resource, AI provides a robust fr...
Mohamed Mahmoud Abdelrahman, Ali Al Sereidi, Saeed Al Nahdi et al.· Abu Dhabi International Petr...· 0 citations
