PROFILE DETAILS

Dr. Mohammad Islam Miah
Dr. Mohammad Islam Miah
Associate Professor
E-mail Address

islam.m@cuet.ac.bd , mim625@mun.ca

About Myself

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.

Field of Interest

Energy and Petroleum Engineering, Reservoir characterization & modeling, Geomechanics & Drilling, Production optimization & EOR, Coal Mining- Data Analytics & Machine Learning/AI Application


Qualification

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


Publications
Serial NoTitleAuthorsInformationsYear
1Improved prediction of shear wave velocity for clastic sedimentary rocks using hybrid model with core dataMiah, M.I.Journal of Rock Mechanics and Geotechnical Engineering, Elsevier2021
2Model Development for Shear Sonic Velocity Using Geophysical Log Data: Sensitivity Analysis and Statistical AssessmentMiah, M.I., Ahmed, S., Zendehboudi, S.Journal of Natural Gas Science and Engineering, Volume 88, April 2021 doi.org/10.1016/j.jngse.2020.1037782021
3Experimental Study of Rock Size Effects on Tensile Strength Using the Brazilian TestMiah, M.I., Bormon, T., Iqbal, R., and Abir, M.A.N.7th International Conference on Engineering Research, Innovation, and Education-ICERIE20232023
4Predictive Models and Feature Ranking in Reservoir Geomechanics: A Critical Review and Research GuidelinesMiah, M.I.Journal of Natural Gas Science and Engineering, Volume 82, October 2020, https://doi.org/10.1016/j.jngse.2020.1034932020
5Hybrid Connectionist Models to Assess Recovery Performance of Low Salinity Water InjectionKondori, J., Miah, M.I., Zendehboudi, S., ........Journal of Petroleum Science and Engineering, Volume 197, Elsevier https://doi.org/10.1016/j.petrol.2020.1078332020
6Machine Learning Approach to Model Rock Strength: Prediction and Variable Selection with Aid of Log DataMiah, M.I., Ahmed, S., Zendehboudi, S., and Butt, S.Rock Mechanics and Rock Engineering Journal, Volume 53, Springer Nature https://doi.org/10.1007/s00603-020-02184-22020
7Log Data-Driven Model and Feature Ranking for Water Saturation Prediction Using Machine Learning ApproachMiah, M.I., Zendehboudi, S., and Ahmed, S.Journal of Petroleum Science and Engineering, Vol. 194, 2020, https://doi.org/10.1016/j.petrol.2020.1072912020
8Connectionist and Mutual Information Tools to Determine Water Saturation and Rank Input Log VariablesMiah, 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.2019.1067412019
9Modeling of Temperature Distribution and Oil Displacement during Thermal Recovery in Porous Media: A Critical ReviewMiah, 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.2018.04.0182018
10State-of-the-Art on Capillary Pressure Hysteresis: Productive Techniques for Better Reservoir PerformanceElhaj, M., Miah, M.I., Hossain, M.E.Upstream Oil and Gas Technology, Vol 7, September 2021, https://doi.org/10.1016/j.upstre.2021.1000402021
11Reservoir Properties Analysis Using Core Data of Gas FieldRahman, B.M.K. and Miah, M.I.Journal of Nature Science and Sustainable Technology 13 (1), 1-12.2019
12Porosity Assessment of Gas Reservoir Using Wireline Log Data: A Case Study of Bokabil Formation, BangladeshMiah, M.I.Elsevier Journal of Procedia Engineering 90 (2014) 663-668, DOI: 10.1016/j.proeng.2014.11.789, 28 December, 20142014
13Structural Interpretation of F. Gas FieldDeb, 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/jegh2014
14Prediction of Formation Water Resistivity from Rwa Analysis of a Gas Field Using Wireline Log DataMiah, M. I. and Howladar, M.F.Journal of Petroleum and Gas Exploration Research-JPGER, Vol. 2(4), March 2012, pp. 057-060.2012
15Information-Theoretic Measures for Reservoir CharacterizationMiah, M.I., Ahmed, S., and Zendehboudi, S.68th Canadian Chemical Engineering Conference, October 28-31, Toronto, Canada2018
16Experimental and COSMO-RS Simulation Studies on the Effects of Polyatomic Anions on Clay SwellingRahman, M.T., Negash, B.M., Idrish, A., Miah, M.I., and Biswas, I.Journal of ACS Omega doi.org/10.1021/acsomega.1c037862021
17Application of Memory Concept on Petroleum Reservoir Characterization: A Critical ReviewMiah, 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-MS2017
18Natural Gas Properties Analysis of Bangladesh: A Case Study of Titas Gas FieldMiah, M. I. and Howladar, M.F.SUST Journal of Science and Technology, Vol. 2, No. 2, 2012, pp.26-31.2012
19Effect 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-MS2017
20Prediction of Two-Phase Flow Rate through Chokes using Artificial IntelligenceElhaj, 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
21Hybrid Connectionist Models to Investigate the Effects on Petrophysical Variables for Permeability PredictionMiah, 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_632022
22PVT Properties of Heavy Oil-A Critical ReviewRahman,M.S., Miah, M. I., Rahman, M. Ahmed, S. and Hossain,M.E.International Conference on Petroleum Engineering 2016, 31 December, BUET, Bangladesh2016
23Hydrocarbon Saturation Assessment of Thick Shaly Sand Reservoir Using Wireline Log Data: A Case StudyMiah, M. I. and Tamim, M.10th International Forum on Strategic Technology (IFOST), 3-5 June 2015, Bali, Indonesia, pp. 240-2442015