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CO2 STORAGE CAPACITY ESTIMATION IN SELECTED GEOLOGICAL STRUCTURE

Piotr Krzeczek

First published: 2018-06-20https://doi.org/10.5593/sgem2018/1.4/s06.043View metrics

Abstract

Carbon capture storage (CCS) technology is expected to help reduce the anthropogenic carbon dioxide emissions, however, application requires finding the rock formations with sufficiently large storage capacities. Water-bearing formation allow to store a high-volume CO2. Nevertheless, the assessment of the capacity of aquifers structures remains a problem. In this work reservoir simulation was developed to estimate CO2-storage capacity because it allowed to take into account the effect of heterogeneity in an aquifer and actual aquifer geometry, migration of CO2 by advection and buoyancy, well location, injection interval, variable injection scenarios, residual trapping of CO2 in brine, and permeability reduction due to salt ions precipitation. Results showed that the efficiency of CO2 storage in the selected geological closed structure (aquifer) increased with the increase in the number of wells and at the same time the expenses of injection. For the analyzed variants, the rise in reservoir pressure did not exceed 2.5 MPa, which accounted 12% of the average reservoir pressure. The maximum pressure increase cannot be higher than 15% of the reservoir pressure what may result in fracturing of the storage sealing structure. The results of the simulation revealed that 10 billion cubic feet of carbon dioxide can be safely injected to the Marianowo Anticline. Analysis of water pH changes indicated that the value of this parameter decreased the most around the injection wells zone because of gas dissolving in water. Sensitivity analysis showed that the amount of carbon dioxide influenced the efficiency of the storage process .

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Publication details

Title
CO2 STORAGE CAPACITY ESTIMATION IN SELECTED GEOLOGICAL STRUCTURE
Authors
Piotr Krzeczek
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 18th International Multidisciplinary Scientific GeoConference SGEM2018, Science and Technologies in Geology, Exploration and Mining
Publisher
STEF92 Technology
Year
2018
Pages
327-334
SWS Citekey
Krzeczek20186327334
ISSN
1314-2704
ISBN
978-619-7408-38-6
Language
en
Publication type
Conference Paper
Keywords
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