Advancements in Real-Time Monitoring to Reduce Non-Productive Time in Oil Exploration in Nigeria
Year: 2024
Type: article
Abstract: The study investigated the advancements in real-time monitoring technologies aimed at reducing Non-Productive Time (NPT) in oil exploration in Nigeria, employing systematic content analysis as the research design. Given Nigeria's status as Africa's largest oil producer, the sector faces significant challenges related to aging infrastructure, frequent equipment failures, and operational inefficiencies. The study synthesized findings from recent literature on emerging digital technologies, including Artificial Intelligence (AI) and the Internet of Things (IoT), and their impact on operational efficiency. The systematic content analysis revealed that the integration of AI and IoT in real-time monitoring can effectively enhance predictive maintenance, optimize drilling parameters, and facilitate immediate responses to operational anomalies. Findings indicated that these technologies have the potential to reduce NPT by up to 30%, leading to improved productivity and cost savings. Additionally, the study highlighted the economic and environmental implications of adopting these technologies in Nigeria’s oil sector. The research underscores the necessity for investment in digital infrastructure and training, advocating for a strategic approach to modernize Nigeria's oil exploration practices in alignment with global best practices. Overall, this study contributes to the discourse on technological innovations in the oil and gas industry, providing actionable insights for stakeholders aiming to enhance operational efficiency in Nigeria's exploration activities.
Author: Oboho Eteyen
Institution: Universidad Católica de Murcia
Language: English
Subfield: Ocean Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4404129545