Building Confidence in CO2 Storage Using Reference Datasets from Demonstration Projects

Philip Ringrose, Sallie E Greenberg, Steven G Whittaker, Bamshad Nazarian, Volker Oye

Research output: Contribution to journalConference article

Abstract

In order to build confidence in CO2 storage as greenhouse gas control activity, it is vital to learn from the experience gained from first-mover projects, at the pilot scale and at the demonstration scale. Many of the early CCS projects have published their findings with a view to supporting technology development for CO2 storage, giving improved quality and accuracy in forecasting CO2-storage site behaviour. In order to build on these initial insights, we propose developing a comprehensive set of reference datasets designed to address specific uncertainties and technology gaps. This paper describes examples of how existing datasets have been used and identifies new and emerging technical issues that could be addressed using a broader set of reference datasets as part of an International CO2 Storage Dataset Consortium. The datasets presented here show some of the insights gained so far into: well injectivity, down-hole pressure monitoring, flow modelling of CO2-brine systems, the geomechanical response to CO2 injection and analysis of microseismic monitoring data.

Original languageEnglish (US)
Pages (from-to)3547-3557
Number of pages11
JournalEnergy Procedia
Volume114
DOIs
StatePublished - Jan 1 2017
Event13th International Conference on Greenhouse Gas Control Technologies, GHGT 2016 - Lausanne, Switzerland
Duration: Nov 14 2016Nov 18 2016

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Demonstrations
Greenhouse gases
Monitoring
Uncertainty
Microseismic monitoring

Keywords

  • CCS
  • CO Storage
  • Pressure data
  • Reservoir monitoring
  • Resevoir modeling

ASJC Scopus subject areas

  • Energy(all)

Cite this

Building Confidence in CO2 Storage Using Reference Datasets from Demonstration Projects. / Ringrose, Philip; Greenberg, Sallie E; Whittaker, Steven G; Nazarian, Bamshad; Oye, Volker.

In: Energy Procedia, Vol. 114, 01.01.2017, p. 3547-3557.

Research output: Contribution to journalConference article

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