Analysis of potential CO2 leakage through abandoned ...

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XVI International Conference on Computational Methods in Water Resources (CMWR-XVI) Ingeniørhuset

Analysis of potential CO2 leakage through abandoned wells using a semi-analytical model
Author:Dmitri Kavetski <kavetski@princeton.edu> (Princeton University)
Jan M. Nordbotten <jan.nordbotten@mi.uib.no> (University of Bergen)
Michael A. Celia <celia@princeton.edu> (Princeton University)
Stefan Bachu <stefan.bachu@gov.ab.ca> (Alberta Energy and Utility Board)
Presenter:Dmitri Kavetski <kavetski@princeton.edu> (Princeton University)
Date: 2006-06-18     Track: Special Sessions     Session: Geologic Sequestration of Carbon Dioxide
DOI:10.4122/1.1000000593

Potential injection sites for geological CO2 storage include deep formations in mature sedimentary basins. Many of these basins have a long history of oil and gas exploration and production and the vicinity of the injection site may therefore be perforated by hundreds of wells, potentially penetrating into the injection formation. Geosequestration models must therefore be able to simulate plume spreads over large spatial areas (of order 1,000 km2), while resolving the local dynamics in all the wells. Furthermore, many of these wells are abandoned and their locations and hydraulic properties might be uncertain or unknown. Therefore, risk assessment based on Monte Carlo simulations may be necessary to estimate the resulting uncertainty in the leakage. In this paper, we present a semi-analytical model that simulates the evolution of CO2 plumes and leakage in multiple brine aquifers pierced by multiple passive wells over decadal to century time scales. The model’s equations and state variables are obtained from the self-similarity of the plume shapes and are defined solely at well locations. Since the model does not require domain discretisation in the traditional numerical sense, it is highly computationally efficient, potentially thousands of times faster than existing numerical multiphase simulators. This paper demonstrates the insights gained by applying this model to a potential injection site in the Alberta Basin, Canada, involving more than 500 existing wells over a domain that is 900 km2. Different leakage measures and statistics are presented and discussed.