A Computationally Efficient Method for Field-Scale Reservoir Simulation of CCS in Basalt Formations

10 Pages Posted: 19 Apr 2021

See all articles by Tom Postma

Tom Postma

Princeton University

Karl W. Bandilla

Princeton University

Michael Celia

Princeton University

Date Written: April 7, 2021

Abstract

Unlike sedimentary formations, flood basalts have the potential for relatively rapid mineral trapping when used as an injection target for CO2 storage. While CO2 storage in basalt and its underlying geochemistry have been studied in various ways, including two successful small-scale pilot projects, there are still open questions surrounding the viability of large-scale CO2 storage in basalt, including how the properties of the target formation will be altered after decades of geochemical activity. Field-scale numerical models can play a part in answering these questions.

In this work, we present an overview and initial results of our recent development of a flexible, computationally efficient reactive transport model for CO2 mineral trapping in basalt (Postma et al., 2021). The model combines a fully customizable geochemistry solver with a vertically integrated description of two-phase flow in porous media. It provides a platform for extensive field-scale numerical modeling studies of large-scale CO2 storage in basalt, which in turn can help address some of the current barriers to its implementation in the field.

Keywords: geological carbon storage, numerical methods, field-scale modeling, vertical equilibrium, reactive transport, basalt, mineral trapping;

Suggested Citation

Postma, Tom and Bandilla, Karl and Celia, Michael, A Computationally Efficient Method for Field-Scale Reservoir Simulation of CCS in Basalt Formations (April 7, 2021). Proceedings of the 15th Greenhouse Gas Control Technologies Conference 15-18 March 2021, Available at SSRN: https://ssrn.com/abstract=3828277 or http://dx.doi.org/10.2139/ssrn.3828277

Tom Postma (Contact Author)

Princeton University ( email )

22 Chambers Street
Princeton, NJ 08544-0708
United States

Karl Bandilla

Princeton University ( email )

22 Chambers Street
Princeton, NJ 08544-0708
United States

Michael Celia

Princeton University ( email )

United States

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