Dennis Wayo

Energy, Machine Learning & CFD Analyst

Scopus ID, Github, Google Scholar, ResearchGate.

Bio

My focuses are on text-image-driven Machine Learning and fluid simulation prognosis applications to optimize fossil fuel and hydrogen production and storage. While concentrating on R&D planning, I have six years of rich technical research experience in experimental and numerical approximation analysis.

Research Interest

Drilling & Completions, Hydraulic Fracturing, Matrix Acidizing, Carbon Capture, Hydrogen Production, and Storage.

• Chemical Processes, Crude oil assays, blends and characterisation simulations and modeling.
• Petroleum Drilling & Completions Optimization
• Proppants and Drilling Fluid Formulations
• Heterogeneous Reservoir Fracking and Matrix Acidizing
• Carbon Capture in industrial systems and reservoirs
• Hydrogen Production and Storage Modelling

Skill

CMG • Pipesim • ANSYS CFX • Discrete Element Method • Partial Differential Equations • Aspen HYSYS • Aspen Plus • TensorFlow Developer • Dynamic Mode Decomposition • Optimization (Mathematical Programming)

Education

• PhD Student*, Petroleum Engineering, University of North Dakota, USA, 2028
• PhD Student, Chemical Engineering, Universiti Malaysia Pahang Al-Sultan Abdullah, Malaysia, 2026
• LLM Student*, International Oil and Gas Law and Policy, University of Dundee, Scotland, 2025
• MSc, Petroleum Engineering, Nazarbayev University, Kazakhstan, 2022
• BSc, Petroleum Engineering, Kwame Nkrumah University of Science and Technology, Ghana, 2019
• HND, Mechanical Engineering, Tamale Technical University, Ghana, 2014

Teaching Activity

Coming soon...

Student Supervisory

Coming soon...

Research Grant Awarded

Grant Co-Applicant;

• Universiti Malaysia Pahang Al-Sultan Abdullah: Fundamental Study of Florine-Modified Silica Proppants for Impermeable Reservoir Fracturing
  • RM 160,000 FRGS 2023-1: Ongoing, 2024–2026
  • 

Research Grant Participatory

Grad. Research Assistant;

• Nazarbayev University: IoT-based Sensing Technology for Real Time Identification of Unsaturated Soil Properties for Anticipation against Climate Change

  • $500,000 CRP Grant Project Status: Ongoing, 2022-2024.

• Nazarbayev University: Optimization of Filter Cake Removal Using Nanoparticles in Synthetic-Based Mud Drill-In Fluid (SBMDIF) System,

  • $150,000 FDCRGP Grant Project Status: Completed, 2020–2022.

Journal Roles

• Peer Reviewer
  • Journal of Petroleum Exploration and Production Technology

Publications

^* Corresponding Author

2023

• D. D. K. Wayo, S. Irawan, A. Satyanaga, and J. Kim, “Data-Driven Fracture Morphology Prognosis from High Pressured Modified Proppants Based on Stochastic-Adam-RMSprop Optimizers; tf.NNR Study,” Big Data and Cognitive Computing, vol. 7, no. 2, 2023, https://doi.org/10.3390/bdcc7020057 (Q1, IF = 3.7, Top 20%)
• D. D. K. Wayo, S. Irawan, A. Satyanaga, and G. Abbas, “Modelling and Simulating Eulerian Venturi Effect of SBM to Increase the Rate of Penetration with Roller Cone Drilling Bit,” Energies (Basel), vol. 16, no. 10, p. 4185, May 2023, https://doi.org/10.3390/en16104185 (Q1, IF = 3.2, Top 20%)
• T. Kizayev, S. Irawan, J. A. Khan, S. A. Khan, B. Cai, N. Zeb, and, D. D. K. Wayo, “Factors affecting drilling incidents: Prediction of stuck pipe by XGBoost model”. Energy Reports, vol. 9, pp. 270–279, 2023, https://doi.org/10.1016/j.egyr.2023.03.083 (Q2, IF = 5.2)

2022

• D. D. K. Wayo^*, S. Irawan, M. Z. bin Mohamad Noor, F. Badrouchi, J. A. Khan, and U. I. Duru, “A CFD Validation Effect of YP / PV from Laboratory-Formulated SBMDIF for Productive Transport Load to the Surface,” Symmetry, vol. 14, no. 11, p. 17, 2022, https://doi.org/10.3390/sym14112300 (Q1, IF = 2.7, Top 10%)
• D. D. K. Wayo^*, S. Irawan, J. A. Khan, and F. Fitrianti, “CFD Validation for Assessing the Repercussions of Filter Cake Breakers; EDTA and SiO2 on Filter Cake Return Permeability,” Applied Artificial Intelligence, vol. 36, no. 1, 2022, https://doi.org/10.1080/08839514.2022.2112551 (Q2, IF = 2.86)
• U. I. Duru, D. D. K. Wayo, R. Oguh, C. Cyril, and H. Nnani, “Computational Analysis for Optimum Multiphase Flowing Bottom-Hole Pressure Prediction,” Transylvanian Review, vol. 30, no. 2, 2022, [Online]. Available: http://transylvanianreviewjournal.com/index.php/TR/article/view/907 (Q2, IF = 0.155)

Multiphase | Multiphysics | Multiscale

Contact

• Phone: +77714140389
• Email: iwayoden@gmail.com
• Address: Astana, Kazakhstan.