Digitalizing chemistry-driven quality management for intelligent operations—Part 1
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The Authors
N. A. Al-Qahtani - Saudi Aramco, Dhahran, Saudi Arabia
Nasser A. Al-Qahtani serves as a Lead Engineer in Aramco’s Technology Oversight & Coordination division within the Research and Analytical Services Department. He has been instrumental in the design, commissioning, and operational support of gas sweetening and hydrocarbon oil stabilization plants. Mr. Al-Qahtani led the design and pre-commissioning efforts for the Tanajib Gas Plant’s flaring and utility systems, and has made significant contributions to various process optimization, energy efficiency, and environmental sustainability projects. He is the author of numerous technical and management publications and has been awarded five U.S. patents for his innovative work in the oil and gas sector.
A. Akbar - Saudi Aramco, Dhahran, Saudi Arabia
Ali Akbar is a Senior Business System Analyst at Saudi Aramco. With > 15 yrs of laboratory automation and digitalization experience, he has significantly contributed to streamlining and optimizing complex laboratory processes. Akbar specialized in LIMS applications, AI and machine-learning use-cases, converting scientific ideas into actual software modules. He has also published a research paper for a leading journal in the computer science domain and has recently filed a patent at the U.S. Patent and Trademark office for a comprehensive laboratory digitalization solution.
R. Kahtani - Saudi Aramco, Dhahran, Saudi Arabia
Rana Kahtani is a Senior Business System Analyst at Saudi Aramco. She has > 13 yrs of experience in business intelligence, application development, and project and portfolio management. She earned an MS degree in computer and information systems and has played a key role in driving numerous digital transformation initiatives within the organization. In this article, she focused on data analytics and visualization, identifying trends and behaviors in key parameters and providing actionable recommendations to support scientific interpretation and informed decision-making.
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