This study provides a comprehensive review of the advancements in predictive maintenance
within the oil and gas industry, focusing on the integration and impact of Artificial Intelligence …

The oil and gas industry faces significant challenges in managing equipment maintenance
due to the complexity and criticality of its assets. Traditional maintenance approaches are …

Offshore platforms are vital assets for the oil and gas industry, serving as the primary
facilities for exploration, extraction, and processing. Maintenance logistics plays a crucial …

The mining industry contributes to the expansion of the global economy by generating vital
commodities. For continuous production, the industry relies significantly on machinery and …

Facility operations and maintenance are defined as the functions, duties, and labor required
daily to operate and preserve a facility asset to ensure its original function is available for its …

This paper provides a comprehensive review on the Artificial Intelligence (AI) based models
for predictive maintenance (PdM) of water injection pumps (WIPs) in the oil and gas industry …

The application of Artificial Intelligence (AI) approaches in industrial maintenance for fault
detection and prediction has gained much attention from scholars and practitioners. This …

The growing competitiveness of the market, coupled with the increase in automation driven
with the advent of Industry 4.0, highlights the importance of maintenance within …

The increase in available data from sensors embedded in industrial equipment has led to a
recent rise in the use of industrial predictive maintenance. In the aircraft industry, predictive …

Predictive maintenance is a field of study whose main objective is to optimize the timing and
type of maintenance to perform on various industrial systems. This aim involves maximizing …