NIGER DELTA OIL FIELDS

Asphaltene deposition is a significant flow assurance challenge in oil production, particularly in the Niger Delta fields, where variations in pressure, temperature, and crude composition exacerbate the issue. This project focuses on deploying a comprehensive risk assessment framework for predicting and mitigating asphaltene deposition using Monte Carlo simulation and enhanced oil recovery (BOR) techniques, including CO2 huff-and-puff injection. The study integrates probabilistic risk analysis, and experimental data to assess asphaltene precipitation risks under varying reservoir conditions. Monte Carlo simulation is employed to quantify the uncertainties associated with key parameters such as pressure depletion, CO2injection effects, and compositional changes. The effectiveness of CO2 huff-and-puff injection as a potential remediation technique is evaluated, considering its impact on asphaltene solubility and mobility. Additionally, the framework incorporates various mitigation strategies, including chemical inhibitors, operational adjustments, and reservoir management techniques, By developing a robust risk assessment framework, this project provides a decision-making tool for petroleum engineers and field operators to optimize production strategies, reduce downtime, and enhance oil recovery in the Niger Delta region. The results will contribute to improved flow assurance practices, ensuring more sustainable and efficient
hydrocarbon extraction. This study investigates the risk of asphaltene deposition in Niger Delta oil fields, which can impede production and increase operational costs. A comprehensive risk assessment
framework was developed by integrating laboratory analysis, field data, and predictive modeling. Key factors influencing deposition include pressure, temperature, and oil composition. The proposed framework identifies high-risk conditions, enabling proactive management to minimize flow assurance issues and enhance production efficiency.