Proceedings Title : Proc. Indon. Petrol. Assoc., 48th Ann. Conv., 2024
This paper presents an innovative approach to Carbon Dioxide (CO2) Enhanced Oil Recovery (EOR) strategies, combining an economical simulation methodology with a reverse engineering approach. The study delves into the intricacies of CO2 EOR, leveraging reverse engineering principles as a methodological cornerstone for devising comprehensive economic simulation models. By integrating reverse engineering, this analysis aims to uncover underlying mechanisms, refining the precision of economic assessments and fostering sustainable CO2 EOR strategies.
This research endeavors to holistically integrate the economical simulation approach, reverse engineering methodologies, and considerations from CAPEX, OPEX, and utilization factors. This integration aims to offer a comprehensive understanding of CO2 EOR strategies, paving the way for optimized resource utilization, improved cost-efficiency, and sustainable technical and environmental practices within the realm of enhanced oil.
The analysis also underscores the significance of basis calculations derived from utilization factors. By integrating utilization factors into the economic simulation models, the study aims to refine the accuracy of cost-benefit analyses and investment projections. These calculations, based on rigorous reverse engineering principles, provide insights into resource allocation, efficiency improvements, and overall economic feasibility in CO2 EOR endeavors.
In conclusion, the integration of an economical simulation approach with reverse engineering methodologies, complemented by considerations from CAPEX, OPEX, and utilization factors, presents a holistic framework for refining CO2 EOR strategies. This approach aims to guide industry stakeholders in developing more informed and sustainable practices, aligning economic viability with environmental stewardship in CO2 utilization for enhanced oil recovery. The findings underscore the significance of a multifaceted approach, integrating diverse methodologies to address the complexities of CO2 EOR, thereby fostering a more sustainable energy landscape.
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