Determining the minimum risk zones and reduction of geological risks in the application of enhanced oil recovery methods
For effective results in the application of both traditional and innovative Enhanced Oil Recovery (EOR) methods, a comprehensive analysis of geological and mining data is essential. Insufficient data or uneven distribution across the oil field often introduces significant challenges and uncertainties in selecting the most suitable EOR techniques and delineating their optimal application areas. These complexities necessitate a systematic approach to manage geological risks and enhance the effectiveness of EOR strategies. To address these challenges, a novel methodology has been developed to identify, assess, and mitigate geological risks associated with the implementation of EOR techniques. This approach encompasses the identification of geological parameters that influence EOR performance, distinguishing both positive and negative factors. Moreover, the boundary values for these parameters have been determined, enabling a more precise evaluation of their impact and enhancing the reliability of the results. The spatial distribution of each parameter across the field has been meticulously mapped, allowing for a detailed assessment of risk zones versus minimum-risk zones. These maps were then integrated to highlight the areas most suitable for EOR applications with minimal geological risks. A key advantage of this methodology is its applicability at all stages of field development, ensuring continuous risk assessment and optimization of recovery strategies. By leveraging this comprehensive approach, oil recovery efforts can be significantly enhanced while minimizing associated risks. This not only improves decision-making processes in oil production but also ensures the reliability and efficiency of selected EOR methods, contributing to more sustainable and productive resource exploitation. Keywords: oil reservoir; geological risk; uncertainty; thermal method; minimum-risk zone.
Authors
- S. O. Heydarli
Publication Details
- Journal
- Scientific Petroleum
- Published
- 2024-12-01
- DOI
- https://doi.org/10.53404/sci.petro.20240200059
- Primary Topic
- Reservoir Engineering and Simulation Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00