PROFILE DETAILS
islam.m@cuet.ac.bd , mim625@mun.ca
I am very much interested not only in doing research in the disciplines of Energy and Petroleum Engineering but also in contributing to enhancing the quality of human life, which will support the development of diverse communities at both the national and international levels.
Here is some selected information about myself/community involvement:
Secretary, SPE Bangladesh Section (https://www.spe.org/en/section/156) Since 2022
Faculty Advisor, CUET SPE Student Chapter (https://www.spe.org/en/chapter/6268) Since 2022
ORCiD: https://orcid.org/0000-0001-9785-494X
Scopus Author ID: 56524978300 (https://scholar.google.com/citations?user=tlot6AcAAAAJ&hl=en)
Facebook ID: (https://www.facebook.com/engr.sikder)
Research Projects (selective):
1. Principal Investigator-Log Data-Based Improved Model for Predicting Water Saturation of Sandstone Reservoir Using Machine Learning Techniques, Funded by Hydrocarbon Unit
Energy and Mineral Resources Division (Nov. 2023-April 2024)
2. Project Leader-Prediction of Uniaxial Compressive Strength by Coupling Geomechanical Parameters and Machine Learning Techniques, Prediction of Uniaxial Compressive Strength by Coupling Geomechanical Parameters and Machine Learning Techniques, Funded by Directorate of Research & Extension (DRE), CUET (2023-2024)
3. Principal Investigator-Application of AI-Based Predictive Model for Gas Resource Assessment..,GARE, BANBEIS, Ministry of Education, Bangladesh (2022-23)
4. Project Director-Hybrid Connectionist Models to Assess Rock Strength Parameters by Coupling Artificial Intelligence and Core/Log Data, University Grants Commission (UGC) of Bangladesh (2022-2023).
Fellowship and Awards (Selective)
· Awarded the Faculty-wise “Best Research Publication Award-2021”, CUET, Bangladesh
· Awarded the Faculty-wise “Best Research Publication Award-2020”, CUET, Bangladesh
· Awarded “Chevron Canada Rising Star Award”, Memorial University, NL, Canada, 2019-2020
· Awarded for the ‘Fellow of the School of Graduate Studies’, SGS, Memorial University (MUN), Canada, 2019
· Received several TA outstanding performance letters from the Faculty of Engineering, MUN, 2018-2019
· Teaching Skills Enhancement Program (TSEP): CITL, MUN, Canada, 2017-2018
· PhD Research Fellowship from NSERC, RDC, Equinor (Statoil) Canada Ltd. and SGS Baseline, 2016-2019.
Energy and Petroleum Engineering, Reservoir characterization & modeling, Geomechanics & Drilling, Production optimization & EOR, Coal Mining- Data Analytics & Machine Learning/AI Application
Ph.D. in Oil and Gas Engineering (Memorial University, Canada); M.Eng. in Petroleum Engineering (BUET); M.S. in Renewable Energy Technology (Studied 1 year, DU); B.Sc. in Petroleum and Mining Engineering (SUST); MIEEE, MSPE
Serial No | Title | Authors | Informations | Year |
---|---|---|---|---|
1 | Improved prediction of shear wave velocity for clastic sedimentary rocks using hybrid model with core data | Miah, M.I. | Journal of Rock Mechanics and Geotechnical Engineering, Elsevier | 2021 |
2 | Model Development for Shear Sonic Velocity Using Geophysical Log Data: Sensitivity Analysis and Statistical Assessment | Miah, M.I., Ahmed, S., Zendehboudi, S. | Journal of Natural Gas Science and Engineering, Volume 88, April 2021 doi.org/10.1016/j.jngse.2020.103778 | 2021 |
3 | Experimental Study of Rock Size Effects on Tensile Strength Using the Brazilian Test | Miah, M.I., Bormon, T., Iqbal, R., and Abir, M.A.N. | 7th International Conference on Engineering Research, Innovation, and Education-ICERIE2023 | 2023 |
4 | Predictive Models and Feature Ranking in Reservoir Geomechanics: A Critical Review and Research Guidelines | Miah, M.I. | Journal of Natural Gas Science and Engineering, Volume 82, October 2020, https://doi.org/10.1016/j.jngse.2020.103493 | 2020 |
5 | Hybrid Connectionist Models to Assess Recovery Performance of Low Salinity Water Injection | Kondori, J., Miah, M.I., Zendehboudi, S., ........ | Journal of Petroleum Science and Engineering, Volume 197, Elsevier https://doi.org/10.1016/j.petrol.2020.107833 | 2020 |
6 | Machine Learning Approach to Model Rock Strength: Prediction and Variable Selection with Aid of Log Data | Miah, M.I., Ahmed, S., Zendehboudi, S., and Butt, S. | Rock Mechanics and Rock Engineering Journal, Volume 53, Springer Nature https://doi.org/10.1007/s00603-020-02184-2 | 2020 |
7 | Log Data-Driven Model and Feature Ranking for Water Saturation Prediction Using Machine Learning Approach | Miah, M.I., Zendehboudi, S., and Ahmed, S. | Journal of Petroleum Science and Engineering, Vol. 194, 2020, https://doi.org/10.1016/j.petrol.2020.107291 | 2020 |
8 | Connectionist and Mutual Information Tools to Determine Water Saturation and Rank Input Log Variables | Miah, M.I., Ahmed, S., and Zendehboudi, S. | Journal of Petroleum Science and Engineering Volume 190, July 2020, 106741 https://doi.org/10.1016/j.petrol.2019.106741 | 2019 |
9 | Modeling of Temperature Distribution and Oil Displacement during Thermal Recovery in Porous Media: A Critical Review | Miah, M.I., Elhaj, M.A., Ahmed, S., and Hossain, M.E. | FUEL Journal. Volume 226, 15 August 2018, 423-440, doi.org/10.1016/j.fuel.2018.04.018 | 2018 |
10 | State-of-the-Art on Capillary Pressure Hysteresis: Productive Techniques for Better Reservoir Performance | Elhaj, M., Miah, M.I., Hossain, M.E. | Upstream Oil and Gas Technology, Vol 7, September 2021, https://doi.org/10.1016/j.upstre.2021.100040 | 2021 |
11 | Reservoir Properties Analysis Using Core Data of Gas Field | Rahman, B.M.K. and Miah, M.I. | Journal of Nature Science and Sustainable Technology 13 (1), 1-12. | 2019 |
12 | Porosity Assessment of Gas Reservoir Using Wireline Log Data: A Case Study of Bokabil Formation, Bangladesh | Miah, M.I. | Elsevier Journal of Procedia Engineering 90 (2014) 663-668, DOI: 10.1016/j.proeng.2014.11.789, 28 December, 2014 | 2014 |
13 | Structural Interpretation of F. Gas Field | Deb, PK., FM., Miah, M.I. et al. | International Journal of Engineering Geology and Hydrology, JEGH 2014, 2(3):29-36, 08.01.2014, doi:10.12966/jegh | 2014 |
14 | Prediction of Formation Water Resistivity from Rwa Analysis of a Gas Field Using Wireline Log Data | Miah, M. I. and Howladar, M.F. | Journal of Petroleum and Gas Exploration Research-JPGER, Vol. 2(4), March 2012, pp. 057-060. | 2012 |
15 | Information-Theoretic Measures for Reservoir Characterization | Miah, M.I., Ahmed, S., and Zendehboudi, S. | 68th Canadian Chemical Engineering Conference, October 28-31, Toronto, Canada | 2018 |
16 | Experimental and COSMO-RS Simulation Studies on the Effects of Polyatomic Anions on Clay Swelling | Rahman, M.T., Negash, B.M., Idrish, A., Miah, M.I., and Biswas, I. | Journal of ACS Omega doi.org/10.1021/acsomega.1c03786 | 2021 |
17 | Application of Memory Concept on Petroleum Reservoir Characterization: A Critical Review | Miah, M. I., Deb, P. K., Rahman,M.S.,and Hossain, M.E. | SPE Kuwait Oil & Gas Show and Conference, Society of Petroleum Engineers. doi:10.2118/187676-MS | 2017 |
18 | Natural Gas Properties Analysis of Bangladesh: A Case Study of Titas Gas Field | Miah, M. I. and Howladar, M.F. | SUST Journal of Science and Technology, Vol. 2, No. 2, 2012, pp.26-31. | 2012 |
19 | Effect of Varying Permeability on Inflow Performance Curve of Gas Reservoirs. | Kommineni,M.,….Miah, M. I. | SPE Oil and Gas India Conference and Exhibition, Society of Petroleum Engineers. doi:10.2118/185351-MS | 2017 |
20 | Prediction of Two-Phase Flow Rate through Chokes using Artificial Intelligence | Elhaj, M.., Miah, M.I. and Khamis, M.A. | The 28th Annual Newfoundland Electrical and Computer Engineering Conference (NECEC), 19 November 2019, St. John’s, NL. | 2019 |
21 | Hybrid Connectionist Models to Investigate the Effects on Petrophysical Variables for Permeability Prediction | Miah, M.I. and Abir, M.A.N. | Intelligent Computing & Optimization. Lecture Notes in Networks and Systems Book Series, Vol. 371. pp. 647–656. Springer, Cham. (Editors: Vasant, P., Zelinka, I., Weber, GW.) https://doi.org/10.1007/978-3-030-93247-3_63 | 2022 |
22 | PVT Properties of Heavy Oil-A Critical Review | Rahman,M.S., Miah, M. I., Rahman, M. Ahmed, S. and Hossain,M.E. | International Conference on Petroleum Engineering 2016, 31 December, BUET, Bangladesh | 2016 |
23 | Hydrocarbon Saturation Assessment of Thick Shaly Sand Reservoir Using Wireline Log Data: A Case Study | Miah, M. I. and Tamim, M. | 10th International Forum on Strategic Technology (IFOST), 3-5 June 2015, Bali, Indonesia, pp. 240-244 | 2015 |