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The economics of carbon dioxide transport by pipeline and storage in saline aquifers and oil reservoirs.

机译:通过管道输送二氧化碳并在盐水层和储油库中储存二氧化碳的经济性。

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Large reductions in carbon dioxide (CO2) emissions are needed to mitigate the impacts of climate change. One method of achieving such reductions is CO2 capture and storage (CCS). CCS requires the capture of carbon dioxide (CO2) at a large industrial facility, such as a power plant, and its transport to a geological storage site where CO2 is sequestered, if implemented, CCS could allow fossil fuels to be used with little or no CO2 emissions until alternative energy sources are more widely deployed. Large volumes of CO2 are most efficiently transported by pipeline and stored either in deep saline aquifers or in oil reservoirs, where CO2 is used for enhanced oil recovery (EOR). This thesis describes a suite of models developed to estimate the project-specific cost of CO2 transport and storage. Engineering-economic models of pipeline CO2 transport, CO2flood EOR, and aquifer storage were developed for this purpose. The models incorporate a probabilistic analysis capability that is used to quantify the sensitivity of transport and storage cost to variability and uncertainty in the model input parameters. The cost of CO2 pipeline transport is shown to be sensitive to the region of construction, in addition to factors such as the length and design capacity of the pipeline. The cost of CO2 storage in saline aquifers is shown to be most sensitive to factors affecting site characterization cost. For EOR projects, CO2 storage has traditionally been a secondary effect of oil recovery; thus, a levelized cost of CO2 storage cannot be defined. Instead EOR projects were evaluated based on the breakeven price of CO2 (i.e., the price of CO2 at which the project net present value is zero). The breakeven CO2 price is shown to be most sensitive to oil prices, losses of CO2 outside the productive zone of the reservoir, and reservoir pressure. Future research should include collection and aggregation of more specific data characterizing possible sites for aquifer storage and applications of these models to this data. The implications of alternative regulations and requirements for site characterization should also be studied to more fully assess cost impacts.
机译:为了减少气候变化的影响,需要大量减少二氧化碳(CO2)的排放。实现这种减排的一种方法是二氧化碳捕获和封存(CCS)。 CCS要求在大型工业设施(例如发电厂)中捕获二氧化碳(CO2),并将其运输到隔离了CO2的地质存储地点,如果实施,CCS可以允许很少或不使用化石燃料直到更广泛地部署替代能源为止的二氧化碳排放量。大量的CO2最有效地通过管道运输,并存储在深层盐水层或储油库中,在那里CO2用于提高采油率(EOR)。本文介绍了一套用于估算特定项目的二氧化碳运输和存储成本的模型。为此,开发了管道二氧化碳运输,二氧化碳驱油提高采收率和含水层存储的工程经济模型。这些模型具有概率分析功能,可用于量化运输和存储成本对模型输入参数的可变性和不确定性的敏感性。事实证明,除了管道的长度和设计能力等因素外,CO2管道运输的成本对施工区域也很敏感。盐水中的二氧化碳存储成本显示出对影响站点表征成本的因素最为敏感。对于EOR项目,传统上,二氧化碳封存是采油的次要作用。因此,无法确定二氧化碳存储的平均成本。取而代之的是根据ECO项目的CO2收支平衡价格(即项目净现值为零的CO2价格)进行评估。盈亏平衡的二氧化碳价格对油价,油藏生产区以外的二氧化碳损失以及油藏压力最为敏感。未来的研究应包括收集和汇总更具体的数据,以表征含水层存储的可能场所以及将这些模型应用于这些数据。还应研究替代法规和场所特征要求的含义,以更全面地评估成本影响。

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