二氧化碳捕獲與封存（CCS）是減緩大規模二氧化碳排放最實用的技術。通常，二氧化碳會被儲存在地下地質構造中，特別是鹽水層。由於二氧化碳的封存量對地質封存計畫的發展至關重要，所以封存量估算是在實施地質封存計畫前必要完成的項目。本論文主要研究鹽水層二氧化碳封存量的分類系統和估算方法。
本研究提出一個新的二氧化碳封存量分類系統，將不同的類別的封存量名詞(總封存量、特徵封存量、有效封存量、商業封存量…)放在一個矩形的框架，並對這些名詞加以定義，分類系統的三個軸分別有不同的意義：二氧化碳封存量; 估算方法; 計畫成熟度。研究中以案例分析的方式，利用分類系統估算不同類別的二氧化碳封存量，做為分類系統的使用說明，並確認此分類系統的適用性。
另外，也對於計算不同類別封存量的估算方法進行介紹及討論，並建議適當的方法於計算合適的封存量，以獲得可靠的封存量估算結果。並在遵循商業封存量的定義後，提出一個商業封存量估算模型，此模型結合數值模擬與經濟分析。同時，也提供利用此模型估算得到商業封存量的示範。

The most practical technology for mitigating large scale CO2 emissions from stationary spots is CO2 capture and storage (CCS). Generally, CO2 may be stored in underground geological formations, especially in saline formations. Because CO2 storage amounts in formations are critical for the developing of CCS projects, the estimation of CO2 storage capacity is necessary before project implement. This dissertation studies classification systems and estimation methods for CO2 storage capacity in saline formation.
A CO2 storage capacity classification system was proposed, where different terminologies (Total Storage Resource, Characterized Storage Resource, Effective Storage Resource, Commercial Storage Capacity, etc.) and definitions of storage capacity are given in a rectangular grid framework that contains rectangular sub-grids.
Three axes presented in the diagram of the classification system for the information: CO2 storage resources/capacities of the saline formations; estimation methods; and project maturity, respectively. A case study for estimating the different classes of CO2 storage capacity was done to illustrate and verify the proposed classification system.
The estimation methods for calculating different classes of storage capacity were introduced and discussed, and appropriate methods were suggested for calculating suitable storage capacity in order to obtain reliable estimates. After following the definition of commercial storage capacity that takes the economic conditions into account, an estimation model was proposed to calculate commercial storage capacity by combining reservoir simulation with economic analysis. A demonstration was also provided by using the model to obtain commercial storage capacity.

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