PHD PETROLEUM ENGINEERING PROJECT TOPICS AND MATERIALS
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PHD PETROLEUM ENGINEERING PROJECT TOPICS AND MATERIALS
Reservoir engineering and characterization
- Development of a multiscale reservoir-modelling framework that integrates depositional architecture, geostatistics, and dynamic production data for heterogeneous deltaic reservoirs.
- New methods for quantifying and reducing structural and petrophysical uncertainty in fault-compartmentalized reservoirs.
- Development of a probabilistic framework for assessing reservoir connectivity using pressure interference, tracer, and production data.
- Coupled seismic-to-simulation workflows for updating reservoir models during field development.
- Development of a physics-informed method for history matching reservoirs with sparse and noisy production data.
- Bayesian data-assimilation methods for continuously updating reservoir models under changing field conditions.
- Development of a scalable ensemble-based workflow for history matching large, geologically complex reservoirs.
- Multiscale upscaling of permeability and multiphase-flow properties from core to field scale.
- New approaches to modelling dynamic connectivity in fluvial and turbidite reservoirs.
- Quantification of the impact of shale barriers and baffles on sweep efficiency in layered reservoirs.
- Development of a geomechanics-aware reservoir-characterization framework for reservoirs affected by depletion.
- Integrated petrophysical and production-data methods for identifying bypassed hydrocarbons in mature fields.
- Development of uncertainty-aware methods for estimating remaining oil in place in mature reservoirs.
- Novel methods for characterizing naturally fractured reservoirs using production, well-test, and geophysical data.
- Development of a dynamic model for fluid communication across sealing and partially sealing faults.
- Impact of fault reactivation and stress changes on reservoir connectivity during depletion and injection.
- Improved characterization of thin-bed reservoirs using integrated core, log, seismic, and production data.
- Development of a field-scale approach for evaluating capillary pressure and relative-permeability uncertainty.
- Reservoir-property prediction using joint inversion of seismic, well-log, and core measurements.
- Development of a compositional reservoir model for volatile-oil and gas-condensate systems under changing pressure.
- New methods for integrating PVT data with reservoir simulation in compositionally complex fluids.
- Experimental and numerical characterization of multiphase flow in mixed-wet reservoir rocks.
- Development of a pore-network and continuum-model linkage for predicting multiphase transport in reservoir rocks.
- Improved modelling of capillary desaturation and residual-oil distribution across heterogeneous pore networks.
- Characterization of wettability alteration during prolonged water injection in mature reservoirs.
- Development of an integrated reservoir-surveillance framework using distributed temperature, acoustic, and strain sensing.
- New methods for diagnosing reservoir compartmentalization from pressure-transient and production data.
- Development of an uncertainty-based framework for evaluating aquifer support in oil reservoirs.
- Improved models for predicting water influx in reservoirs with irregular geometry and heterogeneous aquifers.
- Dynamic modelling of reservoir pressure and fluid-contact movement using time-lapse surveillance data.
- Development of an integrated model for production allocation in commingled and multilayer wells.
- New approaches for integrating production logging and surface measurements to estimate zonal contributions.
- Development of a reservoir-model validation framework using independent surveillance and intervention data.
- Quantifying scale effects in reservoir characterization and recovery prediction from laboratory to field.
- Development of a probabilistic workflow for selecting reservoir-model complexity appropriate to data quality.
- Evaluation of how geological-model uncertainty propagates into reserves, production, and project economics.
- Development of a value-of-information method for prioritizing reservoir data acquisition.
- Adaptive field-development planning under geological, operational, and market uncertainty.
- Development of a closed-loop reservoir-management framework that links surveillance, modelling, and operational decisions.
- Integrated reservoir modelling of Niger Delta fields to quantify the influence of depositional heterogeneity on recovery and uncertainty.
Enhanced recovery and unconventional resources
- Development of a reservoir-specific screening framework for selecting enhanced oil recovery methods in mature Niger Delta fields.
- Mechanistic modelling of polymer flooding in heterogeneous reservoirs under high salinity and temperature.
- Development of locally sourced and environmentally compatible polymers for enhanced oil recovery, with core-scale and upscaled validation.
- Experimental and numerical investigation of polymer degradation and retention during injection into reservoir rocks.
- Novel approaches to predicting injectivity loss during polymer flooding in heterogeneous formations.
- Development of a coupled model for polymer transport, adsorption, and oil displacement at field scale.
- Evaluation of green surfactants for reducing interfacial tension and mobilizing residual oil under reservoir conditions.
- New methods for designing surfactant formulations resistant to high salinity, temperature, and divalent ions.
- Mechanistic investigation of surfactant adsorption and retention in mineralogically complex reservoir rocks.
- Multiscale modelling of alkaline–surfactant–polymer flooding in heterogeneous reservoirs.
- Development of a low-toxicity chemical EOR formulation using renewable or locally available feedstocks.
- Experimental and numerical assessment of biosurfactant flooding in reservoir rocks with varying wettability.
- Development of a predictive model for nanoparticle transport, retention, and oil recovery in porous media.
- Mechanisms of wettability alteration by engineered nanoparticles under reservoir conditions.
- Scale-up of nanoparticle-assisted EOR from micromodels and core floods to field simulation.
- Evaluation of hybrid chemical and gas injection strategies for improving sweep and reducing chemical consumption.
- Development of a model for foam stability and mobility control in heterogeneous reservoirs.
- Novel foam-generation and propagation strategies for controlling gas mobility during EOR.
- Modelling of foam-assisted gas injection in fractured and layered reservoirs.
- Experimental and numerical analysis of low-salinity waterflooding in mineralogically diverse sandstone reservoirs.
- Mechanistic modelling of ion exchange and wettability alteration during low-salinity flooding.
- Development of a predictive framework for selecting low-salinity waterflood conditions using rock–fluid interactions.
- Evaluation of smart-water flooding under variable temperature, salinity, and crude-oil composition.
- Development of an integrated workflow for designing water-alternating-gas injection under geological uncertainty.
- Improved prediction of gas breakthrough and sweep efficiency during WAG injection in heterogeneous reservoirs.
- Co-optimization of CO₂-EOR and permanent carbon storage in depleted oil reservoirs.
- Development of a compositional model for miscibility development during CO₂ injection into Niger Delta crude-oil reservoirs.
- Experimental and numerical evaluation of minimum miscibility pressure under reservoir-specific fluid conditions.
- Mechanisms governing CO₂ retention and residual trapping during cyclic injection and production.
- Development of a risk-based framework for managing CO₂ breakthrough and recycling during EOR.
- Comparative assessment of associated gas, nitrogen, and CO₂ injection for pressure maintenance and recovery.
- New models for predicting asphaltene precipitation and deposition during gas injection and pressure depletion.
- Development of gas-injection strategies that combine oil recovery with flare-gas reduction.
- Integrated economic and reservoir modelling of gas reinjection projects under changing fiscal and market conditions.
- Development of hybrid gas–chemical EOR methods for high-permeability deltaic reservoirs.
- Improved prediction of heavy-oil recovery using coupled thermal, solvent, and geomechanical models.
- Experimental investigation of solvent diffusion and oil-viscosity reduction in heavy-oil reservoirs.
- Development of energy-efficient thermal-recovery methods for reservoirs with limited water and fuel supplies.
- Numerical modelling of cyclic steam stimulation with heat loss, geomechanics, and well-integrity constraints.
- Recovery of hydrocarbons from unconventional reservoirs using coupled fracture-network, flow, and geomechanical models.
- Development of a multiscale model for hydrocarbon transport in organic-rich shale formations.
- Experimental and numerical analysis of adsorption, desorption, and diffusion in shale reservoirs.
- Improved production forecasting for shale and tight reservoirs using rate-transient and physics-based methods.
- Development of a model for matrix–fracture transfer in naturally and hydraulically fractured reservoirs.
- Optimization of hydraulic-fracture placement and spacing under geological and economic uncertainty.
- Coupled modelling of fracture propagation, proppant transport, leakoff, and production in unconventional formations.
- Development of a refracturing-candidate selection method using production, geomechanical, and economic data.
- Evaluation of parent–child well interference and strategies for limiting production losses in tight reservoirs.
- Characterization of fracture conductivity evolution under reservoir stress and multiphase-flow conditions.
- Development of environmentally informed EOR optimization that accounts for water use, chemical persistence, and emissions.
Drilling, completions and geomechanics
- Development of a real-time drilling-optimization framework integrating surface, downhole, and geological data.
- Physics-informed machine learning for predicting rate of penetration across changing lithology and drilling conditions.
- Development of a transferable model for drilling dysfunction detection across rigs and basins.
- New methods for early detection and mitigation of stuck-pipe events using real-time drilling data.
- Modelling the interaction of drilling parameters, cuttings transport, and hole cleaning in extended-reach wells.
- Development of a coupled CFD and empirical framework for cuttings transport in eccentric and inclined wellbores.
- Optimization of drilling-fluid rheology for hole cleaning under high pressure, temperature, and variable salinity.
- Development of low-toxicity drilling fluids from renewable or locally sourced materials, with performance validation.
- Investigation of drilling-fluid invasion and formation damage in heterogeneous reservoir intervals.
- Development of predictive methods for lost-circulation events using geological, geomechanical, and operational data.
- A coupled fracture-flow model for predicting lost circulation in naturally fractured formations.
- Real-time pore-pressure and fracture-gradient prediction using drilling, logging, and seismic data.
- Development of uncertainty-aware wellbore-stability models for overpressured and naturally fractured formations.
- Coupled thermo-hydro-mechanical modelling of wellbore stability during drilling and circulation.
- Geomechanical analysis of wellbore instability in depleted reservoirs with changing stress conditions.
- Development of an adaptive mud-weight selection framework for narrow drilling windows.
- Integration of geomechanical models and measurement-while-drilling data for real-time well planning.
- Development of a model for evaluating wellbore-position uncertainty and collision risk in dense fields.
- Improved survey-correction methods for accurate placement of directional and horizontal wells.
- Optimization of well trajectories to maximize reservoir contact while managing drilling risk and cost.
- Development of an autonomous drilling-control system that adapts to changing downhole conditions.
- Machine-learning-assisted detection and management of kicks and influxes during drilling.
- Risk-informed design of managed-pressure drilling systems for narrow-margin and depleted formations.
- Coupled well-control and multiphase-flow modelling for improved kick detection in deepwater wells.
- Development of a reliability-based framework for selecting casing and liner designs under uncertainty.
- New methods for evaluating casing deformation under depletion, injection, and tectonic stress.
- Development of cement-sheath integrity models for wells exposed to pressure and temperature cycling.
- Experimental and numerical study of cement–formation bonding under realistic downhole conditions.
- Evaluation of locally sourced additives for cement systems under high-pressure, high-temperature conditions.
- Development of self-healing cement formulations for long-term zonal isolation.
- Modelling cement degradation and leakage risk in wells used for CO₂ or hydrogen storage.
- Risk-based assessment of sustained casing pressure using barrier, annular-pressure, and surveillance data.
- Development of an integrated well-integrity management model across the full well life cycle.
- Predictive maintenance of well barriers using probabilistic failure models and field surveillance data.
- Development of a quantitative framework for selecting sand-control methods in unconsolidated reservoirs.
- Modelling the coupled effects of drawdown, stress, and multiphase flow on sand production.
- Development of an erosion and failure model for sand-control screens under changing production conditions.
- Comparative performance of gravel-pack, expandable-screen, and inflow-control completions in heterogeneous reservoirs.
- Optimization of inflow-control devices for managing water and gas breakthrough in horizontal wells.
- Design of intelligent completion strategies for adaptive reservoir drainage and zonal control.
- Development of a model for perforation damage, cleanup, and productivity in different reservoir lithologies.
- Mechanistic modelling of acidizing and stimulation in carbonate and sandstone formations.
- Development of environmentally safer stimulation fluids that maintain performance under reservoir conditions.
- Coupled acid–rock reaction and wormhole-propagation modelling for matrix stimulation.
- Development of a risk-based framework for hydraulic-fracturing design under induced-seismicity constraints.
- Experimental and numerical analysis of fracture propagation near faults and natural fractures.
- Geomechanical modelling of fault reactivation during injection, depletion, and hydraulic stimulation.
- New methods for evaluating induced-seismicity risk in subsurface injection projects.
- Development of a drilling-waste characterization and formation-disposal decision framework.
- Integrated assessment of well design and abandonment requirements for future subsurface-energy reuse.
Production engineering, flow assurance and digital systems
- Development of an integrated production-optimization model linking reservoir, wellbore, gathering network, and surface facilities.
- Closed-loop production control using real-time well and reservoir surveillance data.
- Physics-informed production forecasting for mature oil and gas fields with changing operating constraints.
- Development of a transferable machine-learning model for identifying underperforming wells.
- Integrated diagnosis of production decline using pressure, flow, intervention, and downhole-surveillance data.
- New methods for quantifying the causes and uncertainty of production deferment in complex assets.
- Optimization of gas-lift design using coupled reservoir, wellbore, and surface-network models.
- Adaptive gas-lift control for wells with changing water cut, reservoir pressure, and gas availability.
- Predictive maintenance models for electric submersible pumps using operating and failure data.
- Development of a physics-based model for pump degradation under gas interference and solids production.
- Comparative optimization of artificial-lift systems across the full life cycle of mature wells.
- Improved models for liquid loading and deliquification in gas wells under changing production conditions.
- Development of a real-time critical-gas-rate model for gas wells producing water and condensate.
- Coupled modelling of water coning, gas coning, and changing drawdown in horizontal wells.
- New methods for predicting water breakthrough and selecting water-control interventions.
- Evaluation of downhole water separation and reinjection for reducing surface water-handling loads.
- Development of an integrated produced-water reinjection strategy that accounts for injectivity, formation damage, and reservoir response.
- Modelling injectivity decline during produced-water reinjection under variable water chemistry.
- Experimental and numerical analysis of scale formation and inhibition in production systems.
- Predictive modelling of corrosion and materials degradation in produced-water and multiphase systems.
- Development of a coupled model for wax deposition, restart, and flow assurance in crude-oil pipelines.
- Improved prediction and mitigation of gas-hydrate formation during transient flow and shutdown.
- Modelling of asphaltene deposition in wells and pipelines under changing pressure and temperature.
- Development of chemical-injection optimization methods for scale, wax, hydrate, and corrosion control.
- Multiphase-flow modelling of severe slugging in offshore pipelines and risers.
- Development of a real-time slug-management system using field sensors and predictive control.
- Digital-twin development for a producing well or production network, validated with operational data.
- Integration of distributed acoustic, temperature, and strain sensing for well and reservoir diagnostics.
- Development of data-quality and sensor-validation methods for petroleum-engineering analytics.
- Physics-informed neural networks for solving transient multiphase-flow problems in wells and pipelines.
- Development of interpretable machine-learning methods for production optimization and operational risk.
- Hybrid digital models combining mechanistic simulators and machine learning for field-level decision support.
- Development of a cyber-physical framework for monitoring and optimizing automated oilfield operations.
- Optimization of production allocation under measurement uncertainty in commingled wells.
- Development of methods for reconciling well, separator, and fiscal-meter data in production accounting.
- Machine-learning and mechanistic approaches for detecting pipeline leaks using pressure, flow, and acoustic data.
- Development of a reliability model for pipeline integrity under corrosion, geohazards, and third-party interference.
- Integrated flow-assurance assessment of subsea systems under changing production and water-injection conditions.
- Development of an optimization framework for brownfield surface facilities with increasing water and gas production.
- Quantifying the operational and economic value of real-time surveillance and automated intervention planning.
Subsurface energy, environment and economics
- Development of a field-scale framework for assessing CO₂ storage capacity, injectivity, and containment in depleted petroleum reservoirs.
- Coupled modelling of CO₂ migration, geochemical reaction, geomechanics, and well integrity during long-term storage.
- Development of a monitoring and verification strategy for CO₂ storage using pressure, seismic, and fiber-optic data.
- Risk-based assessment of legacy wells as potential leakage pathways in carbon-storage projects.
- Experimental and numerical evaluation of caprock integrity under repeated CO₂ injection and pressure cycling.
- Development of a framework for optimizing CO₂-EOR while quantifying net stored carbon and lifecycle emissions.
- Assessment of depleted Niger Delta reservoirs for CO₂ storage using integrated geological, well, and production data.
- Development of coupled flow and geomechanical models for hydrogen storage in depleted gas reservoirs.
- Experimental assessment of hydrogen–rock–brine interactions in candidate subsurface storage formations.
- Well-integrity and leakage-risk modelling for underground hydrogen storage in repurposed petroleum wells.
- Development of a reservoir-engineering framework for geothermal heat recovery from mature oil and gas fields.
- Coupled thermal, hydraulic, and mechanical modelling of geothermal production from depleted petroleum reservoirs.
- Feasibility and well-integrity assessment of converting selected Niger Delta wells for geothermal heat or power.
- Development of an integrated model for co-producing hydrocarbons and geothermal energy from mature fields.
- Assessment of subsurface mineral recovery from produced water and petroleum-associated brines.
- Development of integrated flare-gas utilization and reservoir-reinjection strategies for production and emissions reduction.
- Quantification and reduction of methane emissions from upstream facilities using field measurements and digital monitoring.
- Life-cycle assessment of alternative petroleum-production strategies under recovery, emissions, water-use, and economic constraints.
- Development of a decision-analysis framework for comparing late-life production, EOR, repurposing, and abandonment options.
- Integrated technical, environmental, and economic modelling of petroleum-field redevelopment under uncertainty in the Niger Delta.
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