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Maximize the Ultimate Recovery by Designing and Optimising a CO2 Miscible Gas Injection Pilot in a Giant Carbonate Oil Reservoir, Abu Dhabi

机译:通过设计和优化巨型碳酸盐油藏,ABU DHABI的CO2混溶气体喷射试验,最大化最终回收

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is critical to properly design a CO2 injection pilot for its successful implementation. A detailed pilot design provides valuable information in field development decisions especially when managing high CAPEX. This paper presents detailed workflow of a miscible CO2 gas injection pilot design for a giant onshore oil reservoir in Abu Dhabi, UAE. A technical feasibility study was performed in over a two year period by Abu Dhabi National Oil Company (ADNOC), ExxonMobil, and Abu Dhabi Company for Onshore Oil Operations (ADCO). The key objectives of the study were to evaluate the CO2 EOR potential of the field, reduce performance uncertainty, and productively utilize a specific amount of CO2. A distinctive workflow was developed to identify the optimum pilot design that would successfully achieve these objectives. The project started with a comprehensive screening process to select a candidate reservoir and a suitable pilot location within this reservoir. A high definition representative sector model was then used to design the pilot. First, pilot well concept parameters such as well pattern, type, and orientation were selected to maximize oil recovery. Second, key subsurface uncertainties and design parameters were identified that would have the greatest impact on pilot performance. The Experimental Design technique was then used to evaluate these uncertainties. Finally, a deterministic simulation model was used to predict the expected range of pilot performance.
机译:正确设计二氧化碳注入飞行员是至关重要的。详细的试点设计提供了实地开发决策中的有价值的信息,特别是在管理高级资本时。本文介绍了阿布扎比阿布扎比的巨型陆上油藏的混合二氧化碳气体喷射试点设计的详细工作流程。技术可行性研究是在超过两年的时间由阿布扎比国家石油公司(ADNOC),埃克森美孚公司和阿布扎比公司为陆上石油作业(ADCO)进行。该研究的关键目标是评估现场的CO2 EOR潜力,降低性能不确定性,并高效地利用特定量的CO2。开发了一种独特的工作流来识别成功实现这些目标的最佳试点设计。该项目始于全面的筛选过程,以选择候选水库和该水库内的合适试点位置。然后使用高清晰度代表部门模型来设计飞行员。首先,选择试验井概念参数,如井图案,类型和方向,以最大化储油。其次,确定了关键地下的不确定性和设计参数,这将对导频性能产生最大的影响。然后使用实验设计技术来评估这些不确定性。最后,使用确定性仿真模型来预测预期的导频性能范围。

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