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Abstract This paper covers the optimization challenges in a thermal Steam Flood field located south of Oman. Focusing on the A Field, which is a deep reservoir characterized by high-temperature and high-pressure conditions, making it one of the most challenging fields in Oman. The research methodology encompasses a comprehensive analysis of optimization challenges in A Field, classifying them into three primary categories: subsurface challenges, surface challenges, and process challenges. This classification sets the stage for a detailed examination of mitigation plans and strategies tailored to each challenge. To maximizing oil recovery, ensuring reservoir balance, preventing loss of containment, and ensuring Health, Safety, and Environment (HSE) practices. Implementation of Practical Problem-Solving sessions (PPS) and Continuous Improvement (CI) initiatives, specifically tailored to improve process challenges, has resulted in significant improvements. This includes a notable 70% reduction in the total surface optimization cycle time, liberating resources for approximately 51 days to address other workovers and enhance resource deployment efficiency. Furthermore, the paper showcases substantial cost savings equivalent to a full-time Petroleum Engineer position, coupled with an accelerated enhanced oil recovery in 2023 of around 35 % net oil gain of the average field production compared to 4 % net oil production gain of the average field production in 2021. The establishment of a standardized process flow as a Standard Operating Procedure (SOP) and the creation of a visual management system, coupled with tracked Key Performance Indicators (KPIs), ensure the sustainability of these improvements. This paper presents novel insights into the optimization challenges faced in a thermal steam flood field and provides a case paper of the A Field in Oman. The research emphasizes the significance of aligning optimization criteria, introducing visual tracking tools, and following agreed-upon surface and subsurface optimization processes. The paper also highlights the potential benefits of automation, standardization, and visualization in planning and executing optimization activities. By leveraging automation and lean methodologies, the field can overcome challenges more efficiently, leading to increased operational efficiency and higher oil recovery rates. The findings contribute to the understanding of optimizing thermal fields and offer valuable lessons for similar projects worldwide.
AL-Shuaibi et al. (Mon,) studied this question.