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Numerical simulation and optimization of CO_2 sequestration in saline aquifers

机译:盐水层中CO_2固存的数值模拟与优化

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With heightened concerns on CO_2 emissions from coal fired electricity generation plants, there has been major emphasis in recent years on the development of safe and economical Carbon Dioxide Capture and Sequestration (CCS) technology worldwide. Saline reservoirs are attractive geological sites for CO_2 sequestration because of their huge capacity for long term sequestration. Over the last decade, numerical simulation codes have been developed in US, Europe and Japan to determine a priori the CO_2 storage capacity of a saline aquifer and to provide risk assessment with reasonable confidence before the actual deployment of CO_2 sequestration can proceed with enormous investment. In US, the 2nd version of Transport of Unsaturated Groundwater and Heat (TOUGH2) numerical simulator has been widely used for this purpose. However at present, it does not have the ability to determine optimal parameters such as injection rate, injection pressure, injection depth for vertical and horizontal wells, etc. for optimization of the CO_2 storage capacity and for minimizing the leakage potential by confining the plume migration. This paper describes the development of a "Genetic Algorithm (GA)" based optimizer for TOUGH2 that can be used by the industry with good confidence to optimize the CO_2 storage capacity in a saline aquifer of interest. This new code including the TOUGH2 and the GA optimizer is designated as "GATOUGH2". It has been validated by conducting simulations of three widely used benchmark problems by the CCS researchers worldwide: (a) study of CO_2 plume evolution and leakage through an abandoned well, (b) study of enhanced CH_4 recovery in combination with CO_2 storage in depleted gas reservoirs, and (c) study of CO_2 injection into a heterogeneous geological formation. The results of these simulations are in excellent agreement with those of other researchers using different codes. The validated code has been employed to optimize the proposed water-alternating-gas (WAG) injection scheme for (a) a vertical CO_2 injection well and (b) a horizontal CO_2 injection well, in order to optimize the CO_2 sequestration capacity of an aquifer. The optimized calculations from GATOUGH2 are compared with the brute force nearly optimized results obtained by performing a large number of calculations. These comparisons demonstrate the significant efficiency and accuracy of GATOUGH2 as an optimizer compared to using TOUGH2 in a brute force manner. This capability holds a great promise in studying a host of other problems in CO_2 sequestration such as how to optimally accelerate the capillary trapping, accelerate the dissolution of CO_2 in water or brine, and immobilize the CO_2 plume.
机译:随着人们对燃煤发电厂的CO_2排放日益关注,近年来,全球范围内一直将重点放在安全和经济的二氧化碳捕集与封存(CCS)技术上。盐质储层具有长期固存的巨大能力,因此是固存CO_2的有吸引力的地质地点。在过去的十年中,在美国,欧洲和日本开发了数值模拟代码,以先验确定盐水层的CO_2储存能力,并在实际部署CO_2进行大规模投资之前可以有把握地进行风险评估。在美国,不饱和地下水和热量运输(TOUGH2)数值模拟器的第二版已被广泛用于此目的。但是目前,它没有能力确定最佳参数,例如注入速率,注入压力,垂直井和水平井的注入深度等,从而无法通过限制羽流迁移来优化CO_2的存储能力并最大程度地降低泄漏潜力。 。本文介绍了针对TOUGH2的基于“遗传算法(GA)”的优化器的开发,该优化器可被业界广泛使用,以优化目标盐水层中的CO_2储存能力。包括TOUGH2和GA优化器在内的新代码称为“ GATOUGH2”。全球CCS研究人员对三个广泛使用的基准问题进行了仿真,从而验证了这一点:(a)研究废弃井中CO_2羽流的演化和泄漏;(b)研究结合贫化气体中的CO_2储存提高CH_4回收率储层;(c)研究将CO_2注入非均质地质构造中。这些模拟的结果与使用不同代码的其他研究人员的结果非常一致。已验证的代码已被用于为(a)垂直CO_2注入井和(b)水平CO_2注入井优化拟议的水交替气(WAG)注入方案,以优化含水层的CO_2固存能力。将GATOUGH2的优化计算结果与通过执行大量计算获得的近乎蛮力的结果进行了比较。这些比较表明,与以蛮力方式使用TOUGH2相比,GATOUGH2作为优化程序具有显着的效率和准确性。此功能在研究CO_2螯合中的许多其他问题方面具有广阔的前景,例如如何最佳地加速毛细管捕集,如何加速CO_2在水或盐水中的溶解以及如何固定CO_2羽流。

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