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 …

The gradient boosting decision tree is a well-known machine learning algorithm. Despite
numerous advancements in its application, its efficiency still needs to be improved for large …

Source rocks are fundamental elements for petroleum systems, and Total Organic Carbon
(TOC) is one of the most important geochemical parameters in source rock property …

The elastic anisotropy of unconventional shale reservoirs plays a crucial role in their
economic hydrocarbon production. The strong anisotropy of organic-rich shale rocks …

S‐wave velocity plays a crucial role in various applications but often remains unavailable in
vintage wells. To address this practical challenge, we propose a machine learning …

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 …

In the petroleum industry, the analysis of petrophysical parameters is critical for efficient
reservoir management, production optimization, development strategies, and accurate …

The identification of sweet spots, areas within a reservoir with the highest production
potential, has been revolutionized by the integration of machine learning (ML) algorithms …

The right placement of fractures helps to enhance gas production in shale gas reservoirs.
One parameter that helps to determine the target layers to place hydraulic fractures is the …

Rate of penetration (ROP) prediction plays a crucial role in optimizing drilling efficiency and
reducing overall costs in the petroleum industry. Although modern artificial intelligence (AI) …