Predicting the migration of CO2 plume using injection data and a distance-metric approach to reservoir-model selection

S. Bhowmik, Sanjay Srinivasan, S. L. Bryant

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

During the operation of a geological carbon storage project, verifying that the CO2 plume remains within the permitted zone will be of particular interest both to regulators and to operators. We demonstrate a model selection algorithm that refines an initial suite of subsurface models representing the prior uncertainty to create a posterior set of subsurface models that reflect injection performance consistent with that observed. Such posterior models can be used to represent uncertainty in the future migration of the CO2 plume. Because only injection data is required, the method provides a very inexpensive method to map the migration of the plume and the associated uncertainty in migration paths. We illustrate the method using a field data set.

Original languageEnglish (US)
Title of host publicationSociety of Petroleum Engineers - SPE International Conference on CO2 Capture, Storage, and Utilization 2010
Pages576-587
Number of pages12
StatePublished - 2010
EventSPE International Conference on CO2 Capture, Storage, and Utilization 2010 - New Orleans, LA, United States
Duration: Nov 10 2010Nov 12 2010

Other

OtherSPE International Conference on CO2 Capture, Storage, and Utilization 2010
CountryUnited States
CityNew Orleans, LA
Period11/10/1011/12/10

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All Science Journal Classification (ASJC) codes

  • Renewable Energy, Sustainability and the Environment

Cite this

Bhowmik, S., Srinivasan, S., & Bryant, S. L. (2010). Predicting the migration of CO2 plume using injection data and a distance-metric approach to reservoir-model selection. In Society of Petroleum Engineers - SPE International Conference on CO2 Capture, Storage, and Utilization 2010 (pp. 576-587)