Leakage and pressurization risk assessment of CO2 reservoirs: A metamodeling modeling approach

Ethan Guyant, Weon Shik Han, Kue Young Kim, Eungyu Park, Seong Taek Yun

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Monitoring of pressure build-up can provide explicit information on reservoir integrity. This work evaluated pressurization of a CO2 reservoir system in the presence of leakage pathways as well as exploring the effects of compartmentalization of the reservoir utilizing metamodeling techniques (e.g. Design of Experiments (DoE) and Response Surface Methodology (RSM)). Two simulation models were developed (1) an idealized scenario for the evaluation of multiple DoE methods, and (2) a complex scenario implementing the best performing DoE method to investigate pressurization of the reservoir system. The evaluation of the idealized scenario determined that the Central Composite design would be suitable for the complex scenario. The complex scenario evaluated 5 uncertain factors such as the permeabilities of the reservoir, seal, leakage pathway and fault, and finally the location of the pathway. A total of 36 response surface equations (RSEs) were developed for the complex scenario with a coefficient of determination (R2) of 0.95 and a Normalized Root Mean Square Error (NRMSE) of 0.060. Sensitivities of RSEs to the input factors were dynamic through space and time. At the earliest time, the impact of the reservoir permeability was dominant, whereas the fault permeability became dominant for later times (>0.5 years). The RSEs were implemented in a Monte Carlo Analysis to analyze leakage and pressurization risks. At the earliest time, the permeability of the leakage pathway had a sufficiently high influence on the above-zone pressure (i.e., the change in pressure in an aquifer overlying the sealing formation) allowing for adequate determination of leakage risk. At later times, the fault permeability became dominate inhibiting the determination of leakage risk while allowing for sufficient determination of pressurization risk.

Original languageEnglish
Pages (from-to)345-361
Number of pages17
JournalInternational Journal of Greenhouse Gas Control
Volume54
DOIs
Publication statusPublished - 2016 Nov 1

Fingerprint

Pressurization
Risk assessment
leakage
risk assessment
Design of experiments
permeability
modeling
Aquifers
Mean square error
Seals
Monte Carlo analysis
compartmentalization
experiment
sealing
Monitoring
Composite materials
aquifer
monitoring
simulation

Keywords

  • Geologic CO sequestration
  • Meta-modeling
  • Risk assessment
  • Uncertainty analysis

ASJC Scopus subject areas

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

Cite this

Leakage and pressurization risk assessment of CO2 reservoirs : A metamodeling modeling approach. / Guyant, Ethan; Han, Weon Shik; Kim, Kue Young; Park, Eungyu; Yun, Seong Taek.

In: International Journal of Greenhouse Gas Control, Vol. 54, 01.11.2016, p. 345-361.

Research output: Contribution to journalArticle

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