PROFILE DETAILS

Md. Ashiqul Islam Shuvo
Md. Ashiqul Islam Shuvo
Lecturer
E-mail Address

ashiqulshuvo@cuet.ac.bd

About Myself

Md. Ashiqul Islam Shuvo is working as a lecturer at the Department of Petroleum and Mining Engineering (PME), CUET. He worked as a Research Assistant on a research project titled “Hybrid connectionist model to predict rock permeability using core/log data”. In this research, he has developed data-driven machine-learning models 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 Drilling fluid, Fluid flow through porous media, and Enhanced gas recovery techniques. He strongly desires to explore and develop himself as a qualified and skilled researcher in the petroleum and energy sector.

Field of Interest

Drilling Fluid, Fluid flow through porous media, Well Logging, Enhanced Gas Recovery, Machine Learning


Qualification

B.Sc in Petroleum and Mining Engineering, CUET


Publications
Serial NoTitleAuthorsInformationsYear
1Applicability of sawdust as a green additive to improve the rheological and filtration properties of water-based drilling fluid: an experimental investigationShuvo, M.A.I., Sultan, M.Z.B. & Ferdous, A.R.RJournal of Petroleum Exploration and Production Technology (https://doi.org/10.1007/s13202-023-01706-2)2023
2Performance Analysis of Enhanced Gas Recovery ApproachShuvo, M.A.I., Sultan, M.Z.B. & Sabuz, S.HJournal of Petroleum Science and Technology 12(2) (DOI:10.22078/JPST.2022.4775.1795)2022
3A data driven approach to assess the petrophysical parametric sensitivity for lithology identification based on ensemble learningMd.A.I. Shuvo and S.M.H. JoyJournal of Applied Geophysics (https://doi.org/10.1016/j.jappgeo.2024.105330)2024