Field-scale assessment of CO2 foam flooding in low-permeability carbonate reservoirs
Table Of Contents
Chapter ONE
INTRODUCTION
- 1.
- 1.1Introduction
- 2.
- 1.2Background of the Study
- 3.
- 1.3Statement of the Problem
- 4.
- 1.4Aim and Objectives of the Study
- 5.
- 1.5Research Questions
- 6.
- 1.6Research Hypotheses
- 7.
- 1.7Significance of the Study
- 8.
- 1.8Scope and Delimitation of the Study
- 9.
- 1.9Limitations of the Study
- 10.
- 1.10Organisation of the Study
- 11.
- 1.11Operational Definition of Terms
Chapter TWO
LITERATURE REVIEW
- 1.
- 2.1Conceptualization of CO2 Foam Flooding in Low-Permeability Carbonate Formations
- 2.
- 2.2Physicochemical Mechanisms Driving CO2 Foam Behavior in Carbonates
- 3.
- 2.3Theoretical Framework: Capillary Trapping and Foam Stability Theories
- 4.
- 2.4Theories and Models in Field-Scale Foam Delivery and Mobility Control
- 5.
- 2.5Empirical Evidence from Laboratory to Field in Low-Permeability Carbonates
- 6.
- 2.6Geological Characterization of Target Carbonate Reservoirs
- 7.
- 2.7Reservoir Heterogeneity and Sweep Efficiency Considerations
- 8.
- 2.8CO2 Availability, Integrity, and Environmental Considerations
- 9.
- 2.9Surfactant- and Polymer-Enhanced CO2 Foams: Applicability in Carbonates
- 10.
- 2.10Injection Strategies and Operational Parameters for Field Trials
- 11.
- 2.11Data Acquisition, Monitoring, and Inferred Indirect Measurements in Foams
- 12.
- 2.12Identified Gaps in Field-Scale CO2 Foam Flooding Literature
- 13.
- 2.13Conceptual Model: Integrating Foam Chemistry, Geology, and Reservoir Dynamics
Chapter THREE
SYSTEM DESIGN AND IMPLEMENTATION
- 1.
- 3.1Research Design for Field-Scale CO2 Foam Flood Assessment
- 2.
- 3.2Philosophical Paradigm Underpinning the Study
- 3.
- 3.3Population of the Study: Reservoir Zones and Wells
- 4.
- 3.4Sample Size and Sampling Technique for Field Data
- 5.
- 3.5Data Sources and Instruments for Evaluation
- 6.
- 3.6Validation and Calibration of Measurement Tools
- 7.
- 3.7Data Quality Control: Validity and Reliability Procedures
- 8.
- 3.8Analytical Framework and Data Analysis Methods
- 9.
- 3.9Model Specification for Field-Scale Simulation and History Matching
- 10.
- 3.10Ethical Considerations in Field Operations and Data Handling
Chapter FOUR
SYSTEM TESTING AND EVALUATION
- ANALYSIS AND DISCUSSION OF FINDINGS
- 1.
- 4.1Overview of Field Data Collected from CO2 Foam Flood Trials
- 2.
- 4.2Descriptive Statistics of Reservoir and Operational Parameters
- 3.
- 4.3Descriptive Analysis of Foam Stability and Mobility Indicators
- 4.
- 4.4Hypotheses Testing: Effect of Foam on Sweep Efficiency in Low-Permeability Carbonates
- 5.
- 4.5Pressure-Transient and Rate-Pressure Behavior During Foam Flooding
- 6.
- 4.6Oil Recovery Performance and Incremental Recovery Attribution
- 7.
- 4.7Gas-Cap and Capillary Pressure Impacts on Fingering Suppression
- 8.
- 4.8Interpretation of Findings in Light of Theoretical Frameworks and Prior Studies
Chapter FIVE
SUMMARY, CONCLUSION AND RECOMMENDATIONS
- CONCLUSION AND RECOMMENDATIONS
- 1.
- 5.1Summary of Key Findings in Field-Scale CO2 Foam Flooding
- 2.
- 5.2Conclusions Regarding Field-Scale Efficacy in Low-Permeability Carbonates
- 3.
- 5.3Contributions to Knowledge and Practical Implications for Field Operations
- 4.
- 5.4Recommendations for Field Implementation and Optimization
- 5.
- 5.5Suggestions for Further Research and Follow-Up Field Trials
Thesis Abstract
Field-scale CO2 foam flooding offers a potential pathway to enhance oil recovery in low-permeability carbonate reservoirs by improving sweep efficiency and mitigating near-wwell channeling. The study addresses the persistent challenge of limited injectivity and suboptimal conformance control in carbonate formations with heterogeneous pore structures, where conventional gas injection yields low ultimate recovery and significant CO2 breakthrough. The aim is to quantify field-scale performance of CO2 foam flooding and identify the key reservoir and operational factors that govern oil recovery, foam stability, and CO2 storage potential in low-permeability carbonates. Specific objectives include (i) evaluating foam generation and transport characteristics under field-like conditions, (ii) estimating incremental oil recovery and CO2 storage using history-mmatched reservoir simulations, (iii) assessing the sensitivity of flooding performance to brine salinity, temperature, gas–liquid ratio, and crossflow between high and low permeability zones, and (iv) developing operational guidelines for foam stability maintenance and injectionTiming optimization. The methodology integrates a mixed-methods research design combining field data analysis, laboratory coreflood experiments, and numerical modeling. The population comprises fractured and cemented carbonate reservoirs with average matrix permeability ranging from 0.1 to 1.0 mD, heterogeneity indices greater than 0.6, and historical CO2 usage in mature producing fields. A stratified random sample of 12 faulted carbonate blocks from a mature field is selected for coreflood campaigns and core–fluid characterization, with 48 core plugs tested to capture permeability distribution and porosity variation. Data collection instruments include high-resolution reservoir description logs, production histories, downhole pressure/temperature sensors, capillary pressure curves, and coreflood apparatus for measuring foam stability, apparent viscosity, snap-off pressure, and oil recovery under varying foam quality. Foam generation in the laboratory uses a spun foam device and crosslinked polymer solutions to mimic field-delivered foaming agents, with measurements of liquid holdup, gas mobility reduction, and surfactant retention. Analytical techniques employed comprise regression analysis to quantify relationships between foam stability, injection pressure, and oil rate; ANOVA to compare performance across reservoir heterogeneity classes; and multivariate surrogate modeling to integrate petrophysical, geochemical, and operational variables. Reservoir-scale interpretation relies on history-matched compositional and black-oil simulations implemented in a fully implicit, twophase–three-phase solver with foam rheology models calibrated against laboratory data. The model incorporates a dual-porosity representation to capture matrix–fracture interactions and uses a mechanistic foam transport module to simulate mobility reduction and gas channeling effects under field-scale boundary conditions. Expected findings include (i) quantification of incremental oil recovery attributed to CO2 foam under varying ambient conditions, with anticipated recovery uplift in the 6–14% Range for blocks with medium heterogeneity and favorable foaming properties; (ii) identification of critical foam quality and gas–liquid ratios that maximize sweep efficiency while minimizing gas breakthrough; (iii) demonstration of foam stability lifetimes exceeding 2–6 days under reservoir temperatures, enabling controllable injection strategies; (iv) estimation of CO2 storage potential constrained by dissolution, mineral trapping, and caprock integrity, with a projected storage efficiency of 40–70% of injected CO2 over a 5– to 10-year window. The study contributes to knowledge by bridging core-scale foam science with field-scale performance, validating a conceptual framework that links reservoir heterogeneity, foam rheology, and operational timing to recovery and sequestration outcomes. The theoretical underpinning integrates elements of the disjoining pressure theory for foam films, Darcy-based multiphase flow with mobility control, and a diffusion–dispersion framework for CO2 in carbonate matrices, complemented by the Theory of Foam Drainage in porous media. The main conclusion posits that field-scale CO2 foam flooding can significantly improve sweep efficiency and oil recovery in low-permeability carbonates when foam quality, injection scheduling, and reservoir heterogeneity are optimized in concert with reservoir fluid properties and temperature constraints. Recommendations emphasize implementing dynamic foam management practices, tailoring injection sequences to exploit high-permeability streaks, and adopting robust monitoring strategies (e.g., tracers and real-time downhole pressures) to ensure sustained performance. Further research should explore long-term CO2–oil–brine interactions, scale-up of laboratory-derived foam models to multidisciplinary field pilot programs, and economic feasibility analyses under fluctuating energy prices.
Thesis Overview
This research investigates how carbon dioxide (CO2) foam flooding can be used to improve oil recovery in carbonate reservoirs that have low permeability. In simple terms, the study explores whether injecting CO2 combined with foaming agents can better push trapped oil toward production wells in rocks that are naturally tight and allow only limited fluid flow. This matters because many carbonate reservoirs with low permeability are challenging to produce economically, and conventional water flooding often leaves substantial oil behind. If CO2 foam can improve sweep efficiency and reduce gas mobility, it could lower operating costs and extend the productive life of mature fields while offering a lower-carbon method of enhanced oil recovery.
The central problem addressed is the limited understanding of how CO2 foam behaves at field scales in low-permeability carbonates, including how foam stability, mobility control, and oil displacement performance translate from laboratory tests to real reservoirs. The study aims to quantify the incremental oil recovery, establish operational windows for foam generation, and identify key reservoir factors that govern performance.
What the researcher will do:
- Review existing literature on CO2 foam chemistry, foam stability, and mobility control in low-permeability rocks.
- Select a field site with carbonate lithology and measured low permeability, and compile baseline reservoir data (porosity, permeability maps, pressure, temperature, fluid properties).
- Design a field pilot involving CO2-foam injection with a defined foam quality range and surfactant formulation; monitor production response and pressure transient data.
- Collect data from reservoir simulations, corefloods, well logs, and production history for calibration.
- Analyze data using regression analysis to identify relationships between foam parameters and oil recovery, and apply numerical reservoir modeling to extrapolate pilot results to other sections of the field.
- Evaluate economic metrics and environmental implications.
Expected contribution: a clearer understanding of field-scale feasibility, practical guidelines for foam formulation and injection strategy in low-permeability carbonates, and a framework for predicting performance in similar reservoirs.
Anticipated outcome: improved oil recovery with controlled gas mobility, optimized CO2 consumption, and actionable recommendations for field deployment.
This study will help operators assess whether CO2 foam flooding is a viable option for unlocking additional oil in tight carbonate reservoirs and under what conditions it is most effective.