Abstract At remote oil and gas facilities, closed-circuit television still relies on a person watching live views and searching stored footage after an event. As camera counts rise, that arrangement misses brief, distant, partly hidden, or visually ambiguous events more easily. This paper examines field validation of a...
Jiafeng Xu, Xing Zhao, Shuisheng Zhou et al.· Abu Dhabi International Petr...· 0 citations
Abstract This paper details an innovative practice and adapted initiative implemented by Company Asset to ensure continuous measurement, monitoring, and control of oil flow from oil-producing well leveraging Artificial Intelligence. In addition to maintaining the specified oil flow target, autonomous gas flow control w...
S. Ullah Ahmed, H. Al Ali, K. M. Al Shehhi et al.· Abu Dhabi International Petr...· 0 citations
In modern oil and gas operations, Multiphase Flow Meters (MPFMs) have become indispensable for applications ranging from single-well production metering to fiscal allocation. Yet the reliability of the high-frequency data they produce remains a persistent operational vulnerability. Engineers frequently receive well-t...
R. Mohan, S. Samajpati, L. Kunakbayeva et al.· ADIPEC· 0 citations
Abstract To address the challenges of sparse in situ observations, limited spatial resolution of long-term datasets, and insufficient representation of regional wind-field details in offshore wind resource assessment, this study develops a high-accuracy wind resource observation and assessment framework based on multi-...
Yi Peng, Bingyan Chen, Shijia Wang et al.· Abu Dhabi International Petr...· 0 citations
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This study explored the integration of Artificial Intelligence (AI) tools in chemistry instruction, focusing on teachers’ utilization patterns, perceptions, and the challenges they encounter. A sample of 18 chemistry teachers from various institutions participated, providing insights into the types and frequency of AI...
Aprille Mae A. Bunuan-Dela Cruz, Elsa L. Cajucom· International journal of tec...· 0 citations
The findings reveal that Artificial Intelligence, when utilized as a cognitive scaffold rather than a replacement for authorial voice, significantly amplifies the student's capacity to navigate intertextual networks and resolve “artificial hallucinations” through intuitive filtering.
Nana Parinos· International journal of tec...· 0 citations
Abstract Recognizing the fact that Artificial Intelligence (AI) is a pivotal driver of ADNOC's ongoing ENERGYai vision and transformation, a Team in ADNOC Offshore re-evaluated their critical routine operations and successfully developed ideas to convert these physical operations in Offshore into autonomous processes m...
M. Abou Amad, A. Alqaydi, M. Mohammed Ali et al.· Abu Dhabi International Petr...· 0 citations
Abstract Reliable failure data is the starting point for practical reliability engineering in oil and gas operations. In many assets, however, the most useful failure information is recorded in free-text maintenance work-order narratives rather than in consistently populated structured fields. As a result, historical r...
R. Chinpongpan, P. Tangnuntachai, N. Kerdsamut et al.· Abu Dhabi International Petr...· 0 citations
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
