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Oil and gas field economic evaluation optimization method: Closed loop approach for CO_2 flooding

机译:石油和天然气经济评价优化方法:CO_2洪水闭环方法

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Despite the slow growth of EOR development in Indonesia, CO2 EOR has recently gained its momentum due to its versatility to diverse reservoir systems in Indonesia. Optimizing CO2 Injection in EOR activity is a must, since no incentive or tax holiday is given in Indonesia for this activity, contrary to the majority of policies around the globe. This study offers an innovative approach of CO2 flooding injection rate determination using closed loop optimization in project economic evaluation. Particle Swarm Optimization (PSO) algorithm was implemented as a method of optimizing the injection rate of CO2. These novel algorithms are known and proven to be able to work with massive number of datasets, as well as identifying and separating bad dataset(s). The result is optimum injection rate that brings maximum economic value to the project. Utilization of this method increases the NPV of the project by 10.4% and 12% increase in RF.
机译:尽管印度尼西亚的EOR发展增长缓慢,但由于其在印度尼西亚多元化的水库系统的多功能性,CO2 EOR最近获得了势头。 优化EOR活动中的二氧化碳注射是必须的,因为印度尼西亚没有给予这项活动的奖励或税假,这与全球大部分政策相反。 本研究提供了一种在项目经济评估中使用闭环优化的CO2泛滥注入速率测定的创新方法。 粒子群优化(PSO)算法实施为优化CO2注射速率的方法。 这些新颖算法是已知的并且被证明能够使用大量数据集,以及识别和分离坏数据集。 结果是最佳注射率,为项目带来了最大的经济价值。 利用该方法将该项目的NPV增加了10.4%和12%的RF增加。

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