Industrial Control Systems (ICS), which include Supervisory Control and Data Acquisition
(SCADA) systems, Distributed Control Systems (DCS), and Programmable Logic Controllers …

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 …

The ease with which mobile money is used to facilitate cross‐border payments presents a
global threat to law enforcement in the fight against money laundering and terrorist …

Petroleum serves as a cornerstone of global energy supply, underpinning economic
development. Consequently, the effective detection of faults in oil and gas (O&G) wells is of …

The productivity ratio is a vital metric for assessing the efficiency of perforated completions.
Accurate and rapid prediction of this ratio is essential for optimizing the perforation design. In …

In an era characterized by the proliferation of the Internet of Things (IoT), the seamless
interconnection of diverse devices has revolutionized various sectors. However, this rapid …

Fault detection and diagnosis are fundamental problems in the process of abnormal event
detection in oil wells. This paper describes an open-source modular system that enables the …

This study employs machine learning techniques to identify key drivers of suspicious activity
reporting. The data for this study comes from all suspicious activities reported to the …

This paper presents a novel anomaly detection methodology termed Statistical Aggregated
Anomaly Detection (SAAD). The SAAD approach integrates advanced statistical techniques …

Network infrastructure security is a top issue in today's digitally linked world. The crucial
issue of real-time anomaly identification in network data is addressed in this research study …