Muhammad Zulqarnain

ENGINEERING · COMPUTATION · ENERGY

Muhammad Zulqarnain, Ph.D.

Reservoir & Subsurface Engineering
CCUS · Numerical Simulation · Data Science & Optimization

Petroleum engineer combining subsurface engineering with numerical simulation, data science, and computational modeling. My work spans CO₂ geological storage, reservoir simulation, multiphase flow, quantitative risk analysis, machine learning, and engineering optimization.

Engineering workflow from geoscience and reservoir simulation to data science and optimization

CORE CAPABILITIES

Engineering expertise across the subsurface workflow

Integrating geoscience, reservoir engineering, numerical modeling, data science, and computational methods to solve complex subsurface and energy problems.

01

CO₂ Geological Storage & Class VI

Integrated geological CO₂ storage assessment and Class VI technical support, spanning site characterization, formation evaluation, petrophysics, seismic interpretation, and geomodeling through reservoir simulation, injectivity, Area of Review delineation, geomechanics, well integrity, and post-injection evaluation.

CCUS Class VI Geomodeling Petrophysics Seismic AoR Injectivity Geomechanics Well Integrity PISC
02

Reservoir Engineering & Simulation

Reservoir characterization and dynamic modeling for petroleum and subsurface storage systems, including compositional and multiphase simulation, history matching, injectivity and storage assessment, sensitivity analysis, and uncertainty evaluation.

CMG-GEM Petrel Compositional Simulation History Matching Reservoir Characterization Multiphase Flow Sensitivity Analysis Uncertainty
03

Multiphase Flow & CFD

Computational modeling of complex multiphase-flow systems, including gas-liquid pipe flow, Volume-of-Fluid methods, transient flow behavior, and pressure and velocity-field analysis. Applications include offshore well-control and worst-case-discharge studies, flow assurance, and quantitative engineering risk assessment under complex operating conditions.

ANSYS Fluent CFD VOF Multiphase Flow Well Control WCD QRA
04

Data Science & Optimization

Data science, machine learning, spatial analytics, surrogate modeling, and mathematical optimization for petroleum and subsurface engineering. Work includes predictive modeling, GIS-based screening and ranking, scenario analysis, and optimization-driven decision-support workflows.

Python Machine Learning Surrogate Modeling Pyomo MILP GIS Spatial Analytics Optimization

SELECTED WORK

Featured Projects

Selected engineering and computational projects illustrating the integration of subsurface physics, simulation, data analytics, and optimization.

CO2 reservoir simulation showing multi-well plume migration, pressure propagation, and Area of Review RESERVOIR ENGINEERING · CCUS

CO₂ Reservoir Simulation & AoR

Numerical workflows for investigating CO₂ plume migration, pressure propagation, injectivity, computational-domain effects, geomechanical response, and Area of Review behavior.

CMG-GEM Petrel Geomechanics AoR
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Petroleum production analytics combining decline curve analysis, machine learning, uncertainty analysis, and optimization PETROLEUM ENGINEERING · DATA SCIENCE

Petroleum Engineering + Data Science

Computational workflows combining petroleum-engineering methods with production analytics, machine learning, surrogate modeling, uncertainty analysis, and optimization.

Python Scikit-learn DCA Optimization
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15+ Years Engineering & Research Experience
Ph.D. Petroleum Engineering
CCUS Reservoir Modeling & Regulatory Support
Research Peer-Reviewed Publications & Technical Reports

RESEARCH PROFILE

From fundamental modeling to applied engineering

My research spans CO₂ geological storage, reservoir simulation, dynamic storage efficiency, fault-controlled migration and wellbore leakage, multiphase flow and computational fluid dynamics (CFD), offshore reservoir assessment, quantitative risk analysis, and reduced-order and data-driven reservoir modeling.

Peer-reviewed research has appeared in the International Journal of Greenhouse Gas Control, Greenhouse Gases: Science and Technology, Journal of Petroleum Science and Engineering, and SPE Drilling & Completion.

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SELECTED RESEARCH & PUBLICATIONS

Selected Research Contributions

Representative peer-reviewed research and technical work spanning geological CO₂ storage, reservoir simulation, reduced-order modeling, risk analysis, multiphase flow, and computational fluid dynamics.

South Louisiana CO2 geological storage site screening showing CO2 sources, well density, pipelines, population centers, and screened sites

2023 · INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL

GCS Site Selection in Saline Miocene Formations in South Louisiana

Integrated surface and subsurface screening framework combining geologic, infrastructure, environmental, and operational criteria to identify geological CO₂ storage opportunities in South Louisiana.

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Hydromechanical simulation showing fault leakage rates, CO2 saturation, and pressure evolution in a stacked storage system

CO₂ STORAGE · GEOMECHANICS

Hydromechanical Modeling of Fault-Controlled CO₂ Migration

Coupled hydromechanical modeling examining how fault architecture and pressure evolution control CO₂ migration, cross-formational leakage, and containment in stacked storage systems.

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Response surface and contour models showing parameter effects on CO2 dynamic storage efficiency

RESERVOIR MODELING · RESPONSE SURFACE

CO₂ Dynamic Storage Efficiency in High-Permeability Sandstones

Reservoir simulation and response-surface modeling used to quantify the influence of key reservoir and operational parameters on dynamic CO₂ storage efficiency.

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Field-scale well locations and spatial wellbore leakage index map for CO2 storage leakage risk assessment

WELL LEAKAGE · REDUCED-ORDER MODELING

Field-Scale Well Leakage Risk Assessment Using Reduced-Order Models

Reduced-order modeling framework integrating well construction, spatial configuration, and reservoir conditions to evaluate field-scale wellbore leakage risk for geological CO₂ storage.

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CFD simulations of multiphase flow in large-diameter offshore piping for BOEM worst-case-discharge research

BOEM TECHNICAL REPORT · MULTIPHASE FLOW · CFD

Experimental Investigation of Two-Phase Flows in Large-Diameter Pipes and Evaluation of Flow Models Applied to Worst-Case-Discharge Calculations

Experimental and computational investigation of multiphase flow behavior in large-diameter pipes supporting evaluation of offshore worst-case-discharge modeling approaches.

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BACKGROUND

Engineering grounded in physics, strengthened by computation

I am a petroleum engineer with more than 15 years of experience across industry, applied research, and academia. My technical background spans petroleum engineering, geology, numerical simulation, computational fluid dynamics, and quantitative risk analysis.

Increasingly, my work also integrates data science, machine learning, spatial analytics, and optimization with traditional engineering workflows.

Ph.D. Petroleum Engineering Louisiana State University · Minor in Geology
M.Sc. Petroleum Engineering Louisiana State University
M.Sc. Nuclear Engineering PIEAS
M.Sc. Physics Quaid-i-Azam University

CONNECT

Engineering · Research · Computational Methods

Explore my technical projects, research, and professional work through LinkedIn and GitHub.