Cyril Dziedzorm Boateng

Physics

About

Cyril Dziedzorm Boateng is a senior lecturer and researcher in the Department of Physics at Kwame Nkrumah University of Science and Technology (KNUST), Ghana. He is also currently the Head and PI of the West Africa Geophysics (WAGeo) Lab at KNUST. Cyril holds a BSc in Chemical Engineering and MSc in Geophysics from KNUST and a PhD in Solid Earth Physics from the University of the Chinese Academy of Sciences. His postdoctoral work was conducted at the School of Geoscience at the China University of Petroleum (East China). Cyril focuses on the application of machine learning in geophysics and leveraging geophysical methods to support the achievement of the Sustainable Development Goals (SDGs). These research interests have covered rapid groundwater exploration methods, geophysical investigations in the archeology of slavery, protecting communities by understanding coastal hazards and hydrocarbon exploration. Cyril’s research has attracted funding from organizations such as the SEG Foundation, IDRC, Office of Naval Research-Global, the Carnegie Foundation, UNESCO-TWAS, and the German Federal Ministry of Education and Research. Cyril is the Society of Exploration Geophysicists (SEG) 2024 Honorary Lecturer for Middle East and Africa and was also recently awarded the prestigious Iso Lomso fellowship at the Stellenbosch Institute for Advanced Study (STIAS), South Africa to be undertaken from 2026 to 2028. Cyril is a member of the Society of Exploration Geophysicists (SEG) where he serves as a Special Advisor on the SEG Council, a member of the Ghana Institute of Geoscientists (GhIG) where he serves as a Council member and a member of the Ghana Young Academy (GhYA) where he serves on the Executive Committee.

Research Summary

(inferred from publications by AI)

The researcher's work spans several key areas in geosciences and engineering, reflecting a comprehensive approach to understanding complex geological and hydrological systems. Their research is divided into diverse themes, each contributing to advancing knowledge in their respective domains. In the realm of **Seismic Imaging and Inversion Techniques**, they explore reservoir characterization through deep neural networks and fractic analysis. For **Hydrocarbon Exploration and Reservoir Analysis**, they delve into methodologies for evaluating hydrocarbons in various settings, including karst reservoirs and fluvial environments. The integration of hydraulic fracturing techniques enhances our understanding of reservoir behavior. Their work also extends to education, emphasizing the importance of competency-based curricula in chemical engineering programs, as seen in their research on brittleness templates for shale gas reservoirs. In terms of **Geochemistry and Elemental Analysis**, they investigate the chemical composition of geological formations, particularly in the context of subsurface studies. Additionally, they apply isotope analysis to ecological systems, highlighting the role of geology in environmental studies. The researcher's approach is interdisciplinary, employing machine learning, remote sensing, and other advanced techniques across multiple domains such as groundwater studies, geophysical methods, and disaster management. Their work contributes to both technical advancements and practical applications, underscoring the interconnectedness of various scientific fields.

Research Themes

All (42 Papers)

Physical Sciences (36 Papers)

Social Sciences (6 Papers)

All Papers

An integrated fracture parameter prediction and characterization method in deeply-buried carbonate reservoirs based on deep neural network(2021)

Fracture characterization and modeling of karsted carbonate reservoirs: A case study in Tahe oilfield, Tarim Basin (western China)(2019)

Seismic facies analysis using machine learning techniques: a review and case study(2024)

Porosity inversion by Caianiello neural networks with Levenberg-Marquardt optimization(2017)

Characterization of complex fluvio–deltaic deposits in Northeast China using multi-modal machine learning fusion(2020)

Rock type prediction and 3D modeling of clastic paleokarst fillings in deeply-buried carbonates using the Democratic Neural Networks Association technique(2021)

Analysis of reservoir heterogeneities and depositional environments: a new method(2018)

Predicting and 3D modeling of karst zones using seismic facies analysis in Ordovician carbonates of the Tahe oilfield, China(2020)

Acoustic heterogeneity and characterizing depositional environments: A new methodology(2017)

Multi-Modal Machine Learning Fusion for Characterizing Complex Fluvio-Deltaic Tertiary Deposits of North Eastern China(2018)

Evaluation of shale gas reservoirs in complex structural enclosures: A case study from Patala Formation in the Kohat-Potwar Plateau, Pakistan(2020)

Biogenically modified reservoir rock quality: A case from the lowermost member Paleocene Funing Formation, Gaoyou Depression, Subei Basin, China(2022)

Evaluation of porosity and permeability of sandstones within the Oti Group of the Volta Basin using petrophysical and petrographic techniques(2023)

Adaptive Ground Clutter Reduction in Ground-Penetrating Radar Data Based on Principal Component Analysis(2019)

Investigation of Groundwater In-rush Zone using Petrophysical Logs and Short-offset Transient Electromagnetic (SOTEM) Data(2020)

GPR imaging with diffraction velocity analysis: Geotechnical applications in the resort towns of Abonu and Obo, Ghana(2013)

Study on brittleness templates for shale gas reservoirs-A case study of Longmaxi shale in Sichuan Basin, southern China(2021)

Migrating from subject-based to competency-based training in Higher National Diploma Chemical Engineering: The case of Kumasi Polytechnic(2011)

Review of machine learning algorithms used in groundwater availability studies in Africa: analysis of geological and climate input variables(2024)

A Systematic Review of Machine Learning Algorithms in Groundwater Level Simulations and Forecasting(2023)

A Review of Geological and Climatic Variables in Groundwater Availability Prediction in Africa: Machine Learning Approaches(2024)

A systematic review of neural network applications for groundwater level prediction(2025)

A Systematic Review of Neural Network Applications for Groundwater Level Prediction(2024)

Machine Learning-Based Modeling of Groundwater Recharge Under Three Climate Change Scenarios in the Densu Basin of Ghana, West Africa(2025)

A review on the provenance of the Voltaian Basin, Ghana: Implications for hydrocarbon prospectivity(2022)

Automatic lithology identification in meteorite impact craters using machine learning algorithms(2024)

Groundwater Exploration Methods in West Africa: A Review.(2024)

Underrepresentation of Local Researchers in Geophysical Studies at the Bosumtwi Impact Crater: Insights from A Systematic Review(2023)

Seismic activities in Ghana: A systematic review(2024)

KNUST SEG Geophysics Field Camp: A project to study slavery-related archaeology in West Africa(2024)

Assessing the Higher National Diploma Chemical Engineering programme in Ghana: students’ perspective(2012)

A Systematic Review of Geophysical Studies at the Bosumtwi Impact Crater in Ghana(2023)

Mapping the Subsurface Structure of the Bosumtwe Impact Crater Using Ground Penetrating Radar (GPR)(2012)

Episode 182: Uncovering the hidden history of Ghana(2023)

Seismic Activities in Ghana: A Systematic Review(2023)

Uncovering hidden histories through a field camp: Geophysical surveys for archaeological investigations of slavery in Ghana(2023)

GROUNDWATER POTENTIAL MAPPING OF THE CENTRAL REGION USING INTEGRATED GEOLOGICAL AND GEOPHYSICAL METHODS(2024)

Spatiotemporal Analysis of Coastal Erosion and Accretion Patterns in the Keta Region(2025)

Integrating remote sensing and electrical resistivity for assessing coastal dynamics and saltwater intrusion along the eastern coast of Ghana(2025)

Shoreline change detection along the eastern coast of Ghana: leveraging GIS and advanced remote sensing techniques(2025)

A New Workflow for Estimating Groundwater Recharge in Data-Scarce Environments.(2025)

Integrating multi-method geophysical prospection and UAV data for uncovering British colonial history in Ghana(2025)

Collaboration Network

b5c7da67-5ffd-4976-86df-5c719489d11a

Research Collaboration Map

Collaboration Frequency

Less

About This Profile

This profile is generated from publicly available publication metadata and is intended for research discovery purposes. Themes, summaries, and trajectories are inferred computationally and may not capture the full scope of the lecturer's work. For authoritative information, please refer to the official KNUST profile.