Reservoir & production analytics
Connecting operational data and engineering models to support surveillance, forecasting, production optimization, and engineering decisions.
ENGINEER · RESEARCHER · PROBLEM SOLVER
Subsurface engineering.
Digital thinking.
Mojammel Huque, PhD, P.Eng.
I connect petroleum engineering, data analytics, and automation to build practical solutions for reservoir and production engineering.
St. John’s, Newfoundland & Labrador, Canada
AN ENGINEERING JOURNEY ACROSS
Cenovus EnergyMemorial UniversityUniversity of StavangerBUET
01 / ABOUT
Curiosity grounded
in engineering.
I’m Mohammad Mojammel Huque, a Senior Reservoir Intelligence Engineer at Cenovus Energy, based in St. John’s, Canada.
I work at the intersection of subsurface engineering, data analytics, digital transformation, and automation. I integrate engineering models with operational data to support surveillance, forecasting, production optimization, and engineering decision-making.
I manage Databricks catalog and support engineering data architecture across bronze, silver, and gold medallion layers. My work covers data transformation, modeling, quality improvement, and governance to develop trusted datasets for analytics and engineering applications.
Alongside industry practice, I contribute through scientific peer review and Ph.D. research supervision. My doctoral work at Memorial University investigated cuttings transport in horizontal and inclined wellbores.
- Professional Engineer (P.Eng.) · PEGNL
- SPE member since 2007
02 / FOCUS AREAS
Different disciplines.
Connected thinking.
Working at the intersection of physical systems
and the information that helps explain them.
Engineering data platforms
Managing Databricks catalog and supporting medallion architecture, data modeling, quality improvement, and governance for trusted engineering datasets.
Digital engineering & automation
Developing engineering applications, automated workflows, and machine learning solutions, with technical project leadership across digital subsurface initiatives.
03 / SELECTED DIGITAL SOLUTIONS
Engineering knowledge.
Practical applications.
Tools and workflows that bring models,
operational data, and analytics together.
01 / PRODUCTION OPTIMIZATION
Integrated Production Optimizer
Developed a GAP/OpenServer application supporting production optimization.
ENGINEERING SYSTEMS
GAP · OpenServer
02 / PRESSURE ANALYSIS
Build-Up & Fall-Off Analyzer
Developed automated pressure analysis using Aspen IP.21 historian data.
DATA SOURCE
Aspen IP.21 historian
03 / RESERVOIR SURVEILLANCE
Reservoir & Production Dashboards
Developed analytics for forecasting, surveillance, and performance tracking.
APPLICATIONS
Forecasting · Surveillance · Performance
TECHNOLOGY & TOOLS
From data to engineering decisions.
Data & development
- Python
- SQL
- Databricks
- Spark
- PostgreSQL
- Streamlit
- Databricks Apps
- Git / GitLab
Analytics & AI
- Machine learning
- Data modeling
- Spotfire
- Power BI
Engineering systems
- GAP
- PROSPER
- OpenServer
- MBAL
- Aspen IP.21
Data platform
- Catalog management
- Medallion architecture
- Data governance
- Engineering data products
04 / PROFESSIONAL EXPERIENCE
From field engineering
to reservoir intelligence.
A career spanning industry, research, and teaching.
Roles shown by start date; some appointments overlap.
Jan 2024 - Present
Cenovus Energy
Senior Reservoir Intelligence Engineer
St. John’s, Canada
Lead reservoir intelligence initiatives across production, pressure, operational, and subsurface data.
Responsibilities & contributions: Senior Reservoir Intelligence Engineer
- Develop analytics for reservoir surveillance, pressure monitoring, forecasting, and well performance evaluation.
- Build engineering workflows and in-house applications using Databricks, Python, SQL, Spotfire, Power BI, OpenServer, AspenONE, and Streamlit.
- Support integrated production modeling and gas-lift optimization for offshore assets using IPM-GAP.
- Serve as Databricks Catalog Manager, supporting governance, access control, catalog organization, and Bronze, Silver, and Gold data layers.
- Develop dashboards for reservoir, production, drilling, and executive teams; analyze field trends, diagnose operational issues, and evaluate optimization opportunities.
- Collaborate with reservoir, drilling, production, facilities, and geoscience teams to deliver data-driven solutions.
Jan 2022 - Dec 2023
Memorial University of Newfoundland
Postdoctoral Fellow in Drilling Data Analytics
St. John’s, Canada
Analyzed real-time drilling data to support drilling performance optimization.
Responsibilities & contributions: Postdoctoral Fellow in Drilling Data Analytics
- Performed exploratory data analysis, log analysis, visualization, and drilling dysfunction identification.
- Investigated LAS, DLIS, and WITSML files and applied machine learning to rock strength and mechanical specific energy (MSE) estimation.
- Used Python (Pandas, Matplotlib, Seaborn, Plotly, scikit-learn), Databricks, SQL, and Power BI.
Nov 2020 - Sep 2021
Centre for Innovation in Teaching and Learning, Memorial University of Newfoundland
Learning Technology Coach
St. John’s, Canada
Part-time contract appointment alongside doctoral research.
Jan 2020 - Apr 2020
Memorial University of Newfoundland
Instructor, Reservoir Engineering
St. John’s, Canada
Taught graduate Reservoir Engineering (ENGI 9114) and undergraduate Reservoir Engineering (ENGI 8960).
Sep 2019 - Nov 2019
Texas A&M University at Qatar
Research Assistant
Qatar
Conducted experimental work on two-phase flow in horizontal and inclined annulus sections using high-speed visualization and electrical resistance tomography (ERT).
Jan 2016 - Aug 2021
Memorial University of Newfoundland
Graduate Research Assistant
St. John’s, Canada
Researched cuttings transport, drilling rate-of-penetration optimization, managed pressure drilling, and multiphase flow.
Feb 2013 - Dec 2015
Petroleum & Mineral Resources Engineering, Bangladesh University of Engineering & Technology
Teaching Faculty (Assistant Professor / Senior Lecturer)
Dhaka, Bangladesh
Taught petroleum engineering courses and supervised student projects and theses.
Responsibilities & contributions: Teaching Faculty (Assistant Professor / Senior Lecturer)
- Courses included Production Optimization, Production Engineering, Drilling and Completion, Transmission and Distribution of Natural Gas, Natural Gas Processing, Reservoir Engineering, and Rock and Fluid Properties.
- Supervised network modeling of Bangladesh’s West Zone gas transmission pipeline network and an integrated simulation study of the national gas pipeline network.
- Supervised studies of natural gas pipeline river crossings and production optimization of Kailashtilla Gas Field.
- Supervised development of a gas production database for Bangladesh gas fields and modeling of hydraulic lift during casing while drilling.
Mar 2011 - Jan 2013
Bangladesh University of Engineering & Technology
Lecturer, Petroleum & Mineral Resources Engineering
Dhaka, Bangladesh
Taught Production Engineering and Rock and Fluid Properties.
Mar 2007 - Jul 2008
Mobil Jamuna Lubricants Ltd
Technical Service Engineer
Dhaka, Bangladesh
Worked on used oil analysis, engine performance analysis, and communicating product benefits.
05 / SELECTED PUBLICATIONS
Research into practice.
2026RECENT WORK
SCIENTIFIC REPORTS
Cross-well machine learning prediction of sonic logs in Newfoundland and Labrador
Bahare Zare, Mohammad Mojammel Huque, Lesley A. James & Hamid Usefi
Machine learning2022
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
Experimental and numerical study of cuttings transport in inclined drilling operations
Mohammad Mojammel Huque, Mohammad Azizur Rahman, Sohrab Zendehboudi, Stephen Butt & Syed Imtiaz
Experimental research · CFD2021
JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING
Investigation of cuttings transport in a horizontal well with high-speed visualization and electrical resistance tomography technique
Mohammad Mojammel Huque, Mohammad Azizur Rahman, Sohrab Zendehboudi, Stephen Butt & Syed Imtiaz
Multiphase flow · Visualization2020
JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING
Systematic sensitivity analysis of cuttings transport in drilling operation using computational fluid dynamics approach
Mohammad Mojammel Huque, Stephen Butt, Sohrab Zendehboudi & Syed Imtiaz
Computational fluid dynamics2020
SN APPLIED SCIENCES
Kick detection and remedial action in managed pressure drilling: a review
Mohammad Mojammel Huque, Syed Imtiaz, Aziz Rahman & Mohamed Hossain
Managed pressure drilling06 / EDUCATION
A foundation
built across borders.
An academic path through Bangladesh, Norway, and Canada, connecting mechanical engineering with petroleum research.
Read my doctoral thesisPhD
Memorial University of Newfoundland
Doctoral research in cuttings transport in horizontal and inclined drilling operations.
MSc, Petroleum Engineering
University of Stavanger
Norwegian Government NOMA Fellowship recipient.
BSc, Mechanical Engineering
Bangladesh University of Engineering & Technology
07 / PROFESSIONAL & COMMUNITY SERVICE
Contributing to
the wider community.
Peer review & research supervision
I contribute to academia through Ph.D. research supervision and scientific peer review. Reviewer for journals including Gas Science and Engineering, Petroleum Science, Petroleum Research, and Powder Technology.
Community involvement
Past volunteer service includes student income-tax assistance at Memorial University and treasurer roles with the SPE Bangladesh Section and PSAC’s St. John’s Young Workers Committee.
LET’S CONNECT
Good ideas start
with a conversation.
Connect with me about reservoir and production engineering,
digital transformation, automation, and applied research.