Abstract
In this study, we advance the understanding of three-dimensional (3-D) electrical resistivity tomography (ERT) for monitoring long-term CO2 storage by analyzing two previously published field time-lapse data sets. We address two important aspects of ERT inversion-the issue of resolution decay, a general impediment to the ERT method, and the issue of potentially misleading imaging artifacts due to 2-D model assumptions. The first study analyzes data from a shallow dissolved-CO2 injection experiment near Escatawpa (Mississippi), where ERT data were collected in a 3-D crosswell configuration. We apply a focusing approach designed for crosswell configurations to counteract resolution loss in the inter-wellbore area, with synthetic studies demonstrating its effectiveness. The 3-D field data analysis reveals an initially southwards-trending flow path development and a dispersing plume development in the downgradient inter-well region. The second data set was collected during a deep (over 3 km) injection of supercritical CO2 near Cranfield (Mississippi). Comparative 2-D and 3-D inversions reveal the projection of off-planar anomalies onto the cross-section, a typical artifact introduced by 2-D model assumptions. Conforming 3-D images from two different algorithms support earlier hydrological investigations, indicating a conduit system where flow velocity variations lead to a circumvention of a close observation well and an onset of increased CO2 saturation downgradient from this well. We relate lateral permeability variations indicated by an independently obtained hydrological analysis to this consistently observed pattern in the CO2 spatial plume evolution.
Original language | English |
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Pages (from-to) | 297-311 |
Number of pages | 15 |
Journal | International Journal of Greenhouse Gas Control |
Volume | 49 |
DOIs | |
State | Published - Jun 1 2016 |
Externally published | Yes |
Funding
This work was funded by the Assistant Secretary for Fossil Energy, National Energy Technology Laboratory (NETL), National Risk Assessment Program (NRAP), of the US Department of Energyunder Contract No. DEAC02-05CH11231 to LBNL and in collaboration with the Electric Power Research Institute. This work was also supported by SECARB and the National Risk Assessment Partnership (NRAP) through the National Energy Technology Laboratory of the U.S. Dept. of Energy. Lawrence Berkeley National Laboratory is supported under contract DE-AC02-05CH11231. The authors would like to acknowledge the assistance of Susan Hovorka (TBEG), technical lead for the Cranfield Project. We would also like to acknowledge Denbury Resources and Charles Carrigan of Lawrence Livermore National Laboratory for use of the Cranfield data. J. Doetsch was partly funded by the Swiss Competence Center for Energy Research, Supply of Electricity (SCCER-SoE). We are grateful to two anonymous reviewers, whose suggestions greatly enhanced this work.
Keywords
- 3-D inversion
- Electrical resistivity tomography (ERT)
- Geologic CO storage