In an extraordinary feat, our esteemed researchers and visionary collaborators, led by Ts. Dr. Rohani Mohd Zin from the College of Engineering at UiTM, have clinched the prestigious PETRONAS Research Grant. Their groundbreaking initiative, the ‘AI-Based Flare Events Prediction and Prevention System,’ stands tall as a testament to unwavering dedication, unparalleled expertise, and a resolute commitment to innovation.

At its core, this initiative aspires to craft a cutting-edge model for predicting and preventing flare events, employing advanced data analytics and machine learning algorithms within the expansive realm of Artificial Intelligence (AI).

The envisaged AI predictive model holds the promise to not merely predict but anticipate flaring events, providing operators with actionable prescriptions for proactive prevention or mitigation. This technological marvel is set to empower operators, enabling them to vigilantly monitor and swiftly respond to process disturbances, elevating their capacity to manage or avert flaring events with unprecedented efficacy.

The ripple effect of implementing this visionary AI model extends far beyond, with anticipated outcomes encompassing a substantial reduction in greenhouse gas (GHG) emissions, harmonizing seamlessly with Petronas’s resolute sustainability targets. Furthermore, the model aligns with the broader industry mission of achieving Zero Routine Flaring by the ambitious year 2030.

This remarkable endeavor transcends the boundaries of a mere project; it signifies a transformative milestone towards a sustainable future. The team’s visionary prowess and expertise in seamlessly integrating advanced AI and analytics are reshaping not just the trajectory of industrial safety but also the landscape of environmental sustainability.

Heartfelt congratulations to our UiTM researchers for this monumental success! The beacon you’ve lit today illuminates the path towards a brighter, greener, and more sustainable tomorrow.

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