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RESERVOIR INTELLIGENCE
& DIGITAL ENGINEERING

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.

Explore my work LinkedIn

St. John’s, Newfoundland & Labrador, Canada

Illustrative offshore geological cutaway showing folded sedimentary rock layers, a sandstone reservoir beneath shale caprock, and a well curving into the reservoir.
Subsurface systems Illustrative geological model

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
View my professional profile

02 / FOCUS AREAS

Different disciplines.
Connected thinking.

Working at the intersection of physical systems
and the information that helps explain them.

01 —

Reservoir & production analytics

Connecting operational data and engineering models to support surveillance, forecasting, production optimization, and engineering decisions.

Production optimizationPerformance tracking
02 —

Engineering data platforms

Managing Databricks catalog and supporting medallion architecture, data modeling, quality improvement, and governance for trusted engineering datasets.

DatabricksData governance
03 —

Digital engineering & automation

Developing engineering applications, automated workflows, and machine learning solutions, with technical project leadership across digital subsurface initiatives.

Application developmentMachine learning

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 / SELECTED SAMPLE WORK

Visualizing cuttings transport.

Selected original figures from my PhD research, showing experimental methods, flow patterns, and model validation.

High-speed camera images and schematics showing stationary, moving, and suspended cuttings layers at increasing mud velocities.

Fluid rheology and cuttings transport

High-speed imaging shows how drilling-fluid rheology affects particle transport. Increasing fluid viscosity produced a larger fraction of cuttings transported in suspension rather than remaining near the bed.

Related paper: Journal of Natural Gas Science and Engineering 92 (2021)
Flow-regime map relating Reynolds number and fluid velocity to stationary-bed, transitional, and fully moving cuttings conditions.

Horizontal-well flow-regime map

The map identifies three cuttings-transport regions. Experiments showed that turbulent conditions provide the most effective hole cleaning without formation of a stationary bed.

Related paper: Journal of Natural Gas Science and Engineering 92 (2021)
Electrical Resistance Tomography conductivity map showing the cross-sectional distribution of drilling fluid and a solid cuttings bed in an annulus.

Imaging cuttings concentration with ERT

Electrical Resistance Tomography provided a non-invasive view of phase distribution inside the annulus. Changes in conductivity distinguish the liquid phase from the accumulated solid-cuttings region.

Related paper: SPE Drilling & Completion (2021), SPE 201709
Side-by-side comparison of CFD-predicted cuttings distribution and an ERT experimental tomogram in an inclined annulus.

CFD model validation against ERT

The CFD model was validated against experimentally measured ERT phase distributions. Both methods reproduce the stationary bed, moving-cuttings region, and relatively cuttings-free region of the three-layer transport mechanism.

Related paper: Journal of Petroleum Science and Engineering 208 (2022)
CFD contours showing the evolution of a cuttings dune in an inclined annulus at successive simulation times.

Transient evolution of a cuttings dune

Transient simulation tracks how the cuttings bed develops and propagates through the inclined section, revealing the evolving stationary and moving portions of the dune.

Related paper: Journal of Petroleum Science and Engineering 208 (2022)
Laboratory annular flow-loop setup used to investigate drill-cuttings transport under inclined-well conditions.

Inclined-well experimental flow loop

Experiments used a 6.16-m annular flow loop with variable inclination and drillpipe rotation, combining high-speed visualization with quantitative ERT measurements.

Related paper: SPE Drilling & Completion (2021), SPE 201709
High-speed camera visualization showing stationary, rolling, backward-moving, and suspended cuttings in an inclined annulus without drillpipe rotation.

Cuttings motion in an inclined well

High-speed imaging revealed several simultaneous particle-transport mechanisms in the inclined well, including stationary deposition, rolling, suspension, and gravity-driven backward movement.

Related paper: SPE Drilling & Completion (2021), SPE 201709

05 / PROFESSIONAL EXPERIENCE

Connecting petroleum engineering,
data, and digital solutions.

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

Progressed through three roles at Cenovus, advancing from an independent service-provider engagement to Senior Reservoir Intelligence Technologist and current Senior Reservoir Intelligence Engineer.

Responsibilities & contributions: Cenovus Energy
  • Lead reservoir intelligence, data analytics, and digital transformation initiatives across the Atlantic Region; prioritize subsurface analytics and maintain roadmaps for automation, data integration, and engineering applications.
  • Develop integrated reservoir and production analytics and automated workflows for pressure surveillance, build-up/fall-off analysis, model-to-field comparison, and production optimization.
  • Build an Integrated Production Optimizer combining GAP network simulation, Python automation, Spotfire visualization, and Databricks; automate data preparation, simulation execution, and results visualization.
  • Connect GAP and PROSPER with Python, Databricks, operational databases, and analytical applications; apply machine learning with engineering validation.
  • Serve as Databricks Catalog Manager and production data custodian, supporting Unity Catalog governance, access management, metadata, data quality, and controlled data use.
  • Contributed to the Atlantic Region migration from AWS-based to Azure Databricks, including data assets, analytical workflows, applications, and governed structures.
  • Validate reservoir, production, pressure, rock, and fluid-property datasets, and build engineering applications using Databricks, Python, Spotfire, Aspen IP.21, and subsurface modeling tools.
Research & academic experience
Jan 2022 - Dec 2023

Memorial University of Newfoundland

Postdoctoral Researcher

St. John’s, Canada

Applied machine learning and drilling-domain knowledge to offshore operational data and drilling-performance research.

Responsibilities & contributions: Postdoctoral Researcher
  • Analyzed drilling data to identify inefficiencies and study rate-of-penetration optimization and non-productive time.
  • Published peer-reviewed research and mentored a master’s research student in machine-learning applications for energy systems.
  • Delivered technical lectures and collaborated with academic and industry partners to connect research methods with field applications.
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.

2011 - 2015

Bangladesh University of Engineering & Technology

Lecturer & Assistant Professor, Petroleum Engineering

Dhaka, Bangladesh

Taught undergraduate and graduate engineering courses and supervised student research.

Responsibilities & contributions: Lecturer and Assistant Professor
  • Taught petroleum engineering subjects including production optimization, drilling and completion, natural gas transmission, reservoir engineering, and rock and fluid properties.
  • Supervised graduate projects in gas transmission network modeling, production optimization, gas-field data systems, pipeline river crossings, and hydraulic lift during casing while drilling.
  • Served on the Board of Postgraduate Studies and provided technical supervision for graduate research.
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.

06 / SELECTED PUBLICATIONS

Research into practice.

All work on Google Scholar

Journal papers

Conference papers

07 / EDUCATION

A foundation
built across borders.

An academic path through Bangladesh, Norway, and Canada, connecting mechanical engineering with petroleum research.

Read my doctoral thesis
CANADA

PhD

Memorial University of Newfoundland

Doctoral research in cuttings transport in horizontal and inclined drilling operations.

NORWAY

MSc, Petroleum Engineering

University of Stavanger

Norwegian Government NOMA Fellowship recipient.

BANGLADESH

BSc, Mechanical Engineering

Bangladesh University of Engineering & Technology

08 / PROFESSIONAL & COMMUNITY SERVICE

Contributing to
the wider community.

Academic service & research mentorship

Ph.D. supervisory committee member at Memorial University since 2022; research mentor to a master’s student (2023–24) and technical mentor for a graduate project (2023). Reviewer for journals including Gas Science and Engineering, Petroleum Science, Petroleum Research, and Powder Technology, and for ASME OMAE and ASTFE conferences. Invited speaker for an SPE–BUET webinar (2026) and a Memorial University graduate data-science lecture (2024).

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.

Connect on LinkedIn