Study of Classification Systems and Estimation Methods for CO2 Storage Capacity in Saline Formation

Abstract

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

Date of Award	2015 Apr 23
Original language	English
Supervisor	Bieng-Zih Hsieh (Supervisor)