A history matching approach to estimate caprock morphology parameters for CO2 storage in saline aquifers

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

Abstract

To improve the reservoir simulation model, uncertain parameters such as porosity and permeability in the reservoir rock strata need to be adjusted to match the simulated production data with the actual production data. This process is known as History Matching (HM). In geological CO2 storage that is being promoted for use in depleted hydrocarbon reservoirs and saline aquifers, CO2 tends to migrate upwards and accumulate as a separate plume in the zone immediately beneath the reservoir caprock. Thus caprock morphology is of considerable importance with respect to storage safety and migration prediction for the purpose of long-term CO2 storage. Moreover, small scale caprock irregularities, which are not captured by seismic surveys, could be one of the sources of errors while matching the observed CO2 plume migration and the numerical modelling results (e.g. Sleipner). Thus here we study the impact of uncertainties in slope and rugosity (small scale caprock irregularities not captured by seismic surveys) on plume migration, using a history-matching process. We defined 10 cases with different initial guesses to reproduce the caprock properties representing an observed plume shape. The results showed a reasonable match between the horizontal plume shape in calibrated and observed models with an average error of 2.95 percentages
LanguageEnglish
Title of host publicationSociety of Petroleum Engineers
PublisherSociety of Petroleum Engineers
Number of pages8
ISBN (Print)978-1-61399-661-4
DOIs
Publication statusPublished - 3 Jun 2019
Event81st EAGE Conference and Exhibition 2019 - London, United Kingdom
Duration: 3 Jun 20196 Jun 2019
https://www.spe.org/events/en/2019/conference/19euro/spe-europec-featured-at-81st-eage-conference-and-exhibition.html

Conference

Conference81st EAGE Conference and Exhibition 2019
CountryUnited Kingdom
CityLondon
Period3/06/196/06/19
Internet address

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plume
aquifer
history
seismic survey
hydrocarbon reservoir
reservoir rock
porosity
parameter
permeability
safety
prediction
modeling
simulation

Cite this

A history matching approach to estimate caprock morphology parameters for CO2 storage in saline aquifers. / Ahmadinia, Masoud; Shariatipour, Seyed Mohammad; Andersen, Odd; Sadri, Mahdi.

Society of Petroleum Engineers. Society of Petroleum Engineers, 2019. SPE-195507-MS.

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

Ahmadinia, M, Shariatipour, SM, Andersen, O & Sadri, M 2019, A history matching approach to estimate caprock morphology parameters for CO2 storage in saline aquifers. in Society of Petroleum Engineers., SPE-195507-MS, Society of Petroleum Engineers, 81st EAGE Conference and Exhibition 2019 , London, United Kingdom, 3/06/19. https://doi.org/10.2118/195507-MS
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abstract = "To improve the reservoir simulation model, uncertain parameters such as porosity and permeability in the reservoir rock strata need to be adjusted to match the simulated production data with the actual production data. This process is known as History Matching (HM). In geological CO2 storage that is being promoted for use in depleted hydrocarbon reservoirs and saline aquifers, CO2 tends to migrate upwards and accumulate as a separate plume in the zone immediately beneath the reservoir caprock. Thus caprock morphology is of considerable importance with respect to storage safety and migration prediction for the purpose of long-term CO2 storage. Moreover, small scale caprock irregularities, which are not captured by seismic surveys, could be one of the sources of errors while matching the observed CO2 plume migration and the numerical modelling results (e.g. Sleipner). Thus here we study the impact of uncertainties in slope and rugosity (small scale caprock irregularities not captured by seismic surveys) on plume migration, using a history-matching process. We defined 10 cases with different initial guesses to reproduce the caprock properties representing an observed plume shape. The results showed a reasonable match between the horizontal plume shape in calibrated and observed models with an average error of 2.95 percentages",
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