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Upscaling of the constitutive relationships for CO2 migration in multimodal heterogeneous formations
Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, LUVAL.
Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, LUVAL.
Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, LUVAL.
Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, LUVAL.
2013 (English)In: International Journal of Greenhouse Gas Control, ISSN 1750-5836, E-ISSN 1878-0148, Vol. 19, 743-755 p.Article in journal (Refereed) Published
Abstract [en]

Numerical modeling is a critical tool for site performance and risk assessment of geological stored CO2 at the reservoir scale. However, due to computational resource constraints, reservoir scale models have limitations in accounting for the details of the multi-scale heterogeneities. Appropriately averaged medium parameters are needed for the full scale modeling. In this study, we apply the macroscopic theory and present large-scale capillary pressure–relative permeability–saturation relationships that may be used as grid-block properties in the full-scale modeling. A macroscopic invasion percolation (MIP) model is developed, based on the assumption of capillary force dominance. Comparison of the MIP model with the numerical simulator TOUGH2/ECO2N for simulations of large-scale drainage capillary pressure curves shows a reasonably good match between results from the two models. Large-scale constitutive relationships are obtained through simulation procedures of CO2 displacing brine in multimodal heterogeneous media for ten cases with different geostatistical parameters. The large-scale constitutive relationships are mainly controlled by the proportion and the permeability variability of the background (framework) material, while the existence of the non-framework materials and their permeability variabilities may contribute, in a complex way, to the uncertainty in the large-scale constitutive relationships. In addition, the Leverett equation may well describe the relationship between the large-scale capillary pressure and absolute permeability when the sandstone (background material) proportion is high (>0.7). For cases with smaller sandstone proportions it may not be appropriate to link capillary pressure and absolute permeability through the Leverett equation.

Place, publisher, year, edition, pages
2013. Vol. 19, 743-755 p.
National Category
Geosciences, Multidisciplinary
Identifiers
URN: urn:nbn:se:uu:diva-184833DOI: 10.1016/j.ijggc.2012.11.015ISI: 000332396700012OAI: oai:DiVA.org:uu-184833DiVA: diva2:567976
Available from: 2012-11-15 Created: 2012-11-15 Last updated: 2017-12-07Bibliographically approved
In thesis
1. CO2 storage in deep saline aquifers: Models for geological heterogeneity and large domains
Open this publication in new window or tab >>CO2 storage in deep saline aquifers: Models for geological heterogeneity and large domains
2016 (English)Doctoral thesis, comprehensive summary (Other academic)
Alternative title[zh]
二氧化碳的深部盐水层地质封存 : 储层非均质性及大尺度模型的研究
Abstract [en]

This work presents model development and model analyses of CO2 storage in deep saline aquifers. The goal has been two-fold, firstly to develop models and address the system behaviour under geological heterogeneity, second to tackle the issues related to problem scale as modelling of the CO2 storage systems can become prohibitively complex when large systems are considered.

The work starts from a Monte Carlo analysis of heterogeneous 2D domains with a focus on the sensitivity of two CO2  storage performance measurements, namely, the injectivity index (Iinj) and storage efficiency coefficient (E), on parameters characterizing heterogeneity. It is found that E and Iinj are determined by two different parameter groups which both include correlation length (λ) and standard deviation (σ) of the permeability. Next, the issue of upscaling is addressed by modelling a heterogeneous system with multi-modal heterogeneity and an upscaling scheme of the constitutive relationships is proposed to enable the numerical simulation to be done using a coarser geological mesh built for a larger domain. Finally, in order to better address stochastically heterogeneous systems, a new method for model simulations and uncertainty analysis based on a Gaussian processes emulator is introduced. Instead of conventional point estimates this Bayesian approach can efficiently approximate cumulative distribution functions for the selected outputs which are CO2 breakthrough time and its total mass. After focusing on reservoir behaviour in small domains and modelling the heterogeneity effects in them, the work moves to predictive modelling of large scale CO2  storage systems. To maximize the confidence in the model predictions, a set of different modelling approaches of varying complexity is employed, including a semi-analytical model, a sharp-interface vertical equilibrium (VE) model and a TOUGH2MP / ECO2N model. Based on this approach, the CO2 storage potential of two large scale sites is modelled, namely the South Scania site, Sweden and the Dalders Monocline in the Baltic Sea basin.

The methodologies developed and demonstrated in this work enable improved analyses of CO2 geological storage at both small and large scales, including better approaches to address medium heterogeneity. Finally, recommendations for future work are also discussed.

Place, publisher, year, edition, pages
Uppsala: Acta Universitatis Upsaliensis, 2016. 70 p.
Series
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology, ISSN 1651-6214 ; 1390
Keyword
CO2, Carbon Capture Storage, Storage Capacity, Injectivity, Monte Carlo, Gaussian, Permeability, Upscaling, 二氧化碳, 地質封存, 高斯仿真, 滲透係數, 非均質性, 升尺度, 存儲效能, 場地模擬, 不確定性, 壓力累積
National Category
Geosciences, Multidisciplinary
Identifiers
urn:nbn:se:uu:diva-279382 (URN)978-91-554-9625-8 (ISBN)
Public defence
2016-09-16, Hamberg, Villavägen 16, Uppsala, 13:15 (English)
Opponent
Supervisors
Available from: 2016-08-24 Created: 2016-03-01 Last updated: 2016-10-12

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Yang, ZhibingTian, LiangNiemi, AuliFagerlund, Fritjof

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