PROFILE DETAILS
ashiqulshuvo@cuet.ac.bd
Md. Ashiqul Islam Shuvo is working as a lecturer at the
Department of Petroleum and Mining Engineering (PME), CUET. Before joining as a lecturer, he worked as a Research Assistant on a research project titled “Hybrid
connectionist model to predict rock permeability using core/log data”. In that research, data-driven machine-learning models were examined to predict rock permeability from well-log data. The project was funded by the Directorate of
Research and Extension (DRE), CUET. He is also interested in the area of Geomechanics, Applied Geophysics, Engineering Geology, Slope Stability, Hydraulic Fracturing, and Application of Machine learning in geoscience. He strongly desires to explore and develop himself as a
qualified and skilled researcher in the petroleum and energy sector.
- Rock Mechanics
- Drilling Fluid
- Geophysics
- Geology
- Directional Drilling
- Hydraulic Fracturing
- Seismology
- Application of Machine Learning in geological engineering
B.Sc in Petroleum and Mining Engineering from Chittagong University of Engineering & Technology (CUET)
Serial No | Title | Authors | Informations | Year |
---|---|---|---|---|
1 | A data driven approach to assess the petrophysical parametric sensitivity for lithology identification based on ensemble learning | Md.A.I. Shuvo and S.M.H. Joy | Journal of Applied Geophysics (https://doi.org/10.1016/j.jappgeo.2024.105330) | 2024 |
2 | Applicability of sawdust as a green additive to improve the rheological and filtration properties of water-based drilling fluid: an experimental investigation | Shuvo, M.A.I., Sultan, M.Z.B. & Ferdous, A.R.R | Journal of Petroleum Exploration and Production Technology (https://doi.org/10.1007/s13202-023-01706-2) | 2023 |
3 | Production Forecast for a North Sea Oil Field using Artificial Intelligence Techniques | Das, Himadri Shakher, Md Ashiqul Islam Shuvo, and Akhbar Al Abedin | Energy Conference 2023: National and Global Issues (ENCON 23) | 2023 |
4 | Performance Analysis of Enhanced Gas Recovery Approach | Shuvo, M.A.I., Sultan, M.Z.B. & Sabuz, S.H | Journal of Petroleum Science and Technology 12(2) (DOI:10.22078/JPST.2022.4775.1795) | 2022 |