Modified classification system for estimating the CO2 storage capacity of saline formations

Cheng Tien Liu, Bieng-Zih Hsieh, Chi Chung Tseng, Zsay Shing Lin

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

In this study, a modified classification system is proposed for estimating the CO2 storage capacity of saline formations. This system seeks to further integrate existing CO2 storage capacity classification systems with the Petroleum Resources Management System. The synthesis is a rectangular grid system that includes smaller rectangles, which represent the different classes. Three sides of the diagram of the classification system correspond to three information axes: the CO2 storage resources/capacities of the saline formations (bottom), estimation methods (left), and the project maturity (right). Estimating CO2 storage capacity using this system begins by evaluating the total storage amount, which is defined at the bottom of the grid system. When more data become available as the project matures, the different classes of storage capacity (Total Storage Resource, Characterized Storage Resource, Effective Storage Resource, etc.) are sequentially obtained by applying different methods, criteria, and constraints, and the evaluation stage moves from one stage to the next. A case study is done to estimate the different classes of CO2 storage capacity shown on the modified classification system.

Original languageEnglish
Pages (from-to)244-255
Number of pages12
JournalInternational Journal of Greenhouse Gas Control
Volume22
DOIs
Publication statusPublished - 2014 Mar 1

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resource
Crude oil
estimation method
resource management
diagram
petroleum
project
evaluation
method

All Science Journal Classification (ASJC) codes

  • Pollution
  • Energy(all)
  • Management, Monitoring, Policy and Law
  • Industrial and Manufacturing Engineering

Cite this

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Modified classification system for estimating the CO2 storage capacity of saline formations. / Liu, Cheng Tien; Hsieh, Bieng-Zih; Tseng, Chi Chung; Lin, Zsay Shing.

In: International Journal of Greenhouse Gas Control, Vol. 22, 01.03.2014, p. 244-255.

Research output: Contribution to journalArticle

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