This paper explores the evolution of geoscientific inquiry, tracing the progression from
traditional physics-based models to modern data-driven approaches facilitated by significant …

The emergence of artificial intelligence (AI) and, more particularly, machine learning (ML),
has had a significant impact on engineering and the fundamental sciences, resulting in …

Odimarha, Ayodeji, & Abaku, P. 725-740 Page 726 carbon emissions. By analyzing factors
such as traffic patterns, weather conditions, and road conditions, ML algorithms can …

The oil and gas industry substantially influences global energy production due to its
complexity and faces different challenges. In various industries, including the oil and gas …

This paper delves into the significance, challenges, and potential of AI applications within
the oil and gas sector. In the dynamic landscape of oil and gas operations, efficiency and …

Automated seismic fault interpretation has been an active area of research. Since 2018,
Deep learning (DL) based seismic fault interpretation methods have emerged and shown …

The oil and gas industry faces a myriad of challenges in its quest to meet global energy
demands while minimizing environmental impacts. Conventional oil recovery methods often …

A comprehensive assessment of machine learning applications is conducted to identify the
develo** trends for Artificial Intelligence (AI) applications in the oil and gas sector …

One major obstacle in well construction and drilling is the problem of lost circulation. Large
amounts of non-productive time (NPT) are caused by the unintentional flow of fluids into the …

Enhancing the management and monitoring of oil and gas processes demands the
development of precise predictive analytic techniques. Over the past two years, oil and its …