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. 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.

Field of Interest

  • Rock Mechanics
  • Drilling Fluid
  • Geophysics
  • Geology
  • Directional Drilling
  • Hydraulic Fracturing
  • Seismology
  • Application of Machine Learning in geological engineering


Qualification

B.Sc in Petroleum and Mining Engineering from Chittagong University of Engineering & Technology (CUET)


Publications
Serial NoTitleAuthorsInformationsYear
1A 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
2Applicability 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
3Production Forecast for a North Sea Oil Field using Artificial Intelligence TechniquesDas, Himadri Shakher, Md Ashiqul Islam Shuvo, and Akhbar Al AbedinEnergy Conference 2023: National and Global Issues (ENCON 23)2023
4Performance 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