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

Masoud Ahmadinia; Seyed Mohammad Shariatipour; Odd Andersen; Mahdi Sadri

doi:10.2118/195507-MS

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

Masoud Ahmadinia, Seyed Mohammad Shariatipour, Odd Andersen, Mahdi Sadri

SINTEF Ocean

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

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

Original language	English
Title of host publication	Society of Petroleum Engineers
Publisher	Society of Petroleum Engineers
Number of pages	8
ISBN (Print)	978-1-61399-661-4
DOIs	https://doi.org/10.2118/195507-MS
Publication status	Published - 3 Jun 2019
Event	81st EAGE Conference and Exhibition 2019 - London, United Kingdom Duration: 3 Jun 2019 → 6 Jun 2019 https://www.spe.org/events/en/2019/conference/19euro/spe-europec-featured-at-81st-eage-conference-and-exhibition.html

Conference

Conference	81st EAGE Conference and Exhibition 2019
Country/Territory	United Kingdom
City	London
Period	3/06/19 → 6/06/19
Internet address	https://www.spe.org/events/en/2019/conference/19euro/spe-europec-featured-at-81st-eage-conference-and-exhibition.html

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10.2118/195507-MS

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@inproceedings{e9ddeac16fb049bd80b4820ae2fdc21b,

title = "A history matching approach to estimate caprock morphology parameters for CO2 storage in saline aquifers",

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",

author = "Masoud Ahmadinia and Shariatipour, {Seyed Mohammad} and Odd Andersen and Mahdi Sadri",

year = "2019",

month = jun,

day = "3",

doi = "10.2118/195507-MS",

language = "English",

isbn = "978-1-61399-661-4",

booktitle = "Society of Petroleum Engineers",

publisher = "Society of Petroleum Engineers",

address = "United States",

note = "81st EAGE Conference and Exhibition 2019 ; Conference date: 03-06-2019 Through 06-06-2019",

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TY - GEN

T1 - A history matching approach to estimate caprock morphology parameters for CO2 storage in saline aquifers

AU - Ahmadinia, Masoud

AU - Shariatipour, Seyed Mohammad

AU - Andersen, Odd

AU - Sadri, Mahdi

PY - 2019/6/3

Y1 - 2019/6/3

N2 - 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

AB - 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

U2 - 10.2118/195507-MS

DO - 10.2118/195507-MS

M3 - Conference proceeding

SN - 978-1-61399-661-4

BT - Society of Petroleum Engineers

PB - Society of Petroleum Engineers

T2 - 81st EAGE Conference and Exhibition 2019

Y2 - 3 June 2019 through 6 June 2019

ER -

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

Abstract

Conference

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