Dr. Kwame Sarkodie is a dynamic and accomplished researcher in the field of flow assurance and multiphase flow metering, with a strong commitment to innovation at the intersection of energy systems, sensor technology, and artificial intelligence. He currently serves as a Senior Lecturer in the Department of Petroleum Engineering at Kwame Nkrumah University of Science and Technology (KNUST), Ghana. With a solid academic foundation, Dr. Sarkodie holds a PhD in Chemical Process and Energy Engineering, an MSc in Petroleum Engineering, and a BSc in Petroleum Engineering, all contributing to his holistic understanding of upstream and midstream oil and gas operations.

Dr. Sarkodie is the founder and lead investigator of FLOSCOPE Research, a pioneering lab dedicated to the development of smart, non-intrusive metering systems for multiphase flow analysis. Through FLOSCOPE, he has spearheaded cutting-edge research that combines experimental flow loop development with the design and application of acoustic and optical sensors. These sensors are used to characterize gas–liquid flows, detect leakage, and support real-time flow regime identification, particularly under vertical upward conditions—a critical challenge in petroleum production and transport systems.

A major area of Dr. Sarkodie’s research focuses on the use of machine learning algorithms to enhance the accuracy and intelligence of flow metering systems. He has successfully applied techniques such as Linear Discriminant Analysis (LDA), Quadratic Discriminant Analysis (QDA), and polynomial regression models to classify flow regimes and quantify phase fractions with high accuracy. These innovations are shaping next-generation tools for predictive maintenance and flow optimization in complex pipeline systems.

In addition to his work on sensor-based metering, Dr. Sarkodie is actively engaged in broader flow assurance and pipeline transportation projects, including natural gas pipeline expansion modeling and CO? transport optimization. His contributions span both laboratory-scale innovation and large-scale energy system applications, reflecting his commitment to bridging academic research with practical industry solutions. He is also involved in the design of intelligent well probes and the integration of smart tools for well and reservoir performance monitoring.

Dr. Sarkodie has published extensively in reputable journals, including the ASME Journal of Fluids Engineering and the Journal of Computational Multiphase Flows. His body of work, which includes more than 38 peer-reviewed articles, is widely cited and has significantly contributed to advancements in non-intrusive flow diagnostics and multiphase flow technologies. His 2021 publication on flow regime identification using optical sensors and machine learning is particularly notable for its methodological rigor and high classification accuracy.

His professional affiliations include the Society of Petroleum Engineers (SPE), Ghana Institution of Engineers (GhIE), the Energy Institute (EI), and the University Teachers Association of Ghana (UTAG), reflecting his active engagement in both academic and professional engineering communities. At KNUST, he teaches core undergraduate and postgraduate courses such as Drilling and Production Engineering, Reservoir Recovery Techniques, Well Completions, and Natural Gas Engineering. He also supervises MSc and PhD students, guiding them through research in intelligent systems, energy transition technologies, and advanced flow measurement methods.