Modelling of the Long-Term Acid Gas Sequestration and Its Prediction: A Unique Case Study

Wiesław Szott, Piotr Łętkowski, Andrzej Gołąbek and Krzysztof Miłek
Additional contact information
Wiesław Szott: Oil and Gas Institute—National Research Institute, Lubicz 25A, 31-504 Krakow, Poland
Piotr Łętkowski: Oil and Gas Institute—National Research Institute, Lubicz 25A, 31-504 Krakow, Poland
Andrzej Gołąbek: Oil and Gas Institute—National Research Institute, Lubicz 25A, 31-504 Krakow, Poland
Krzysztof Miłek: Oil and Gas Institute—National Research Institute, Lubicz 25A, 31-504 Krakow, Poland

Energies, 2020, vol. 13, issue 18, 1-24

Abstract: A twenty-four-year on-going project of acid gas sequestration in a deep geological structure was subject to detailed modelling based upon a large set of geological, geophysical, and petrophysical data. The model was calibrated against available operational and monitoring data and used to determine basic characteristics of the sequestration process, such as fluid saturations and compositions, their variation in time due to fluid migrations, and the gas transition between free and aqueous phases. The simulation results were analysed with respect to various gas leakage risks. The contribution of various trapping mechanisms to the total sequestrated amount of injected gas was estimated. The observation evidence of no acid gas leakage from the structure was confirmed and explained by the simulation results of the sequestration process. The constructed and calibrated model of the structure was also used to predict the capacity of the analysed structure for increased sequestration by finding the optimum scenario of the risk-free sequestration performance.

Keywords: gas sequestration; geological structure; reservoir modelling; leakage risk; trapping mechanisms; sequestration capacity (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/1996-1073/13/18/4701/pdf (application/pdf)
https://www.mdpi.com/1996-1073/13/18/4701/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:13:y:2020:i:18:p:4701-:d:411101

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().