AIMC Topic: Oil and Gas Industry

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Identification and classification of oil and gas pipeline intru-sion events based on 1-D CNN network.

PloS one
Oil and gas pipeline security is critical to national infrastructure, yet existing monitoring systems often lack the sensitivity and real-time responsiveness required to detect subtle intrusion events. This study presents a novel multimodal sensing a...

Optimizing emergency shutdown system inspection, testing, and maintenance through the tool design and validation.

Scientific reports
Emergency Shutdown (ESD) systems serve as reliable control mechanisms within the petrochemical industry. These systems enhance safety by automatically shutting down processes during emergencies, mitigating hazards. The effectiveness of ESD systems is...

Transfer learning-driven prediction of oil and gaspipeline corrosion rates in small sample scenarios.

PloS one
To ensure the safe operation of oil and gas pipeline systems in complex environments, accurately predicting the corrosion rate of natural gas well pipes is of paramount importance. Given the widespread challenge of pipe corrosion in the oil and gas i...

Design and realization of compressor data abnormality safety monitoring and inducement traceability expert system.

PloS one
Centrifugal compressors are widely used in the oil and natural gas industry for gas compression, reinjection, and transportation. Fault diagnosis and identification of centrifugal compressors are crucial. To promptly monitor abnormal changes in compr...

The use of machine and deep learning to model the relationship between discomfort temperature and labor productivity loss among petrochemical workers.

BMC public health
BACKGROUND: Workplace may not only increase the risk of heat-related illnesses and injuries but also compromise work efficiency, particularly in a warming climate. This study aimed to utilize machine learning (ML) and deep learning (DL) algorithms to...

A comprehensive study on artificial intelligence in oil and gas sector.

Environmental science and pollution research international
The authors investigate how artificial intelligence modifies a huge piece of the energy area, the oil and gas industry. This paper attempts to evaluate technical and non-technical factors affecting the adoption of machine learning technologies. The s...

Measuring and improving adaptive capacity in resilient systems by means of an integrated DEA-Machine learning approach.

Applied ergonomics
Resilient systems strive to enhance the safety of complex systems through building and developing adaptive technological and organizational capacities. This study aims at analyzing and improving the level of adaptive capacity in a petrochemical plant...