Kwame Sarkodie
The researcher's work in physical sciences focuses on innovative techniques for energy storage and flow measurement, which are applied across diverse fields such as oil recovery and reservoir characterization. Techniques like non-intrusive sensing and supervised machine learning are central to advancing methods in hydrocarbon exploration and reservoir simulation. The research emphasizes the practical application of these technologies to address challenges in energy forecasting, geophysical analysis, drilling, corrosion inhibition, thermochemical processes, hydraulic fracturing, and more.
Faculty Biography
Dr. Kwame Sarkodie currenly serves as Head of the Department of Petroleum Engineering, KNUST. He 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 FLOWSCOPE Research, a pioneering lab dedicated to the development of smart, non-intrusive metering systems for multiphase flow analysis. Through FLOWSCOPE, 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.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 CO2 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.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.
Advanced Cellulose Research Studies
CO2 Sequestration and Geologic Interactions
Corrosion Behavior and Inhibition
Drilling and Well Engineering
Energy Load and Power Forecasting
Enhanced Oil Recovery Techniques
Fault Detection and Control Systems
Flow Measurement and Analysis
Fluid Dynamics and Mixing
Hydraulic Fracturing and Reservoir Analysis
Hydrocarbon exploration and reservoir analysis
Petroleum Processing and Analysis
Process Optimization and Integration
Reservoir Engineering and Simulation Methods
Thermochemical Biomass Conversion Processes
Investigation of drag models for simulation of gas-liquid two-phase flow systems
Open AccessSteady-state modelling and simulation of optimum pentane stabilization and recovery options for the Ghana Gas Processing Plant
Open AccessNovel gas-liquid volumetric flow measurement via non-intrusive optical sensing under upward vertical bubbly flow
Novel Investigation of Taylor Bubble and Entrained Bubbles Fractions Using Non-Intrusive Optical Sensors in a Concurrent Upward Slug Flow in Pipes
Assessing the corrosion inhibition potential of novel green and sustainable plant leaf extracts on mild steel in seawater – Preliminary studies
Predicting physico-chemical parameters of Barekese reservoir using feedforward neural network
Open AccessFlow regime dynamics in a bubble column reactor
Open AccessApplication of SVC, k-NN, and LDA machine learning algorithms for improved prediction of Bioturbation: Example from the Subei Basin, China
Application of Supervised Machine Learning Techniques for Improved Prediction of Bioturbation: Example from the Subei Basin, China
Open AccessPredictive modeling of energy‐related greenhouse gas emissions in Ghana towards a net‐zero future
Design and development of a low-cost non-intrusive passive acoustic sensor
Open AccessPyrolysis of municipal food waste: A sustainable potential approach for solid food waste management and organic crop fertilizer production
Open AccessUnderstanding the role of bioturbation in modifying petrophysical properties: a case from well L5 of the third-member Paleocene Funing Formation (E1f3), Gaoyou Sag, Subei Basin, China
Zeta potential prediction of dominant sandstone minerals via surface complexation modelling
Open AccessEvaluation and remediation techniques for barite sagging: A review
Improved phase fraction measurement via non-intrusive optical sensing for vertical upward gas -liquid flow
Gas-liquid flow regime identification via a non-intrusive optical sensor combined with polynomial regression and linear discriminant analysis
Study of polymer flooding and intelligent well technology for improved oil recovery
Open AccessA critical review of carbonate reservoir wettability modification during low salinity waterflooding
Open AccessNon-Intrusive Passive Acoustic Sensing for Accurate Gas Flow Measurement in Gas Pipelines
Open AccessCellulose processing from biomass and its derivatization into carboxymethylcellulose: A review
Open AccessThe effect of temperature on CO2 injectivity in sandstone reservoirs
Open AccessTannin-Based Deflocculants in High Temperature High Pressure Wells: A Comprehensive Review
Open AccessGas-Liquid Flow Regime Identification Via a Non-Intrusive Optical Sensor Combined with Polynomial Regression and Linear Discriminant Analysis
Open AccessFlow Regime Identification in Vertical Upward Gas–Liquid Flow Using an Optical Sensor With Linear and Quadratic Discriminant Analysis
Depositional Behaviour of Highly Macro-Crystalline Waxy Crude Oil Blended with Polymer Inhibitors in a Pipe with a 45-Degree Bend
Open AccessSlug Flow Monitoring in Pipes Using a Novel Non-Intrusive Optical Infrared Sensing Technology
Investigation of the Severity of Wax Deposition in Bend Pipes Under Subcooled Pipelines Conditions
A review of the application of non-intrusive infrared sensing for gas–liquid flow characterization
Open AccessPhase Detection Using Infrared Spectroscopy: A Build up to Inline Gas–Liquid Flow Characterization
Assessment of Petroleum Reservoir Recovery Factor Using Complexity Scoring and Artificial Neural Network
Modeling Mutual Solvent Preflush -The Case of Wettability
The New EOR Frontiers - Reduced Salinity Waterflooding
Intelligent well Technology- Dealing with Gas Coning Problems in Production wells
Department of Petroleum Engineering
Kwame Nkrumah University of Science and Technology