Quantitative FWI characterization of reservoir properties at the CMC Newell County Facility
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Date
2023Type
- Conference Paper
ETH Bibliography
yes
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Abstract
We apply a sequential inversion scheme combining elastic FWI and Bayesian rock physics inversion to a VSP dataset acquired with accelerometers and collocated DAS fiber at the Carbon Management Canada's Newell County Facility. The goal is to build a baseline model of porosity and lithology parameters to support later monitoring of CO2 storage. The key strategies include an effective source approach to cope with near-surface complications, a modeling strategy to simulate DAS data directly comparable to the field data, and a Gaussian mixture approach to capture the bimodality of rock properties. We perform FWI tests on the accelerometer, DAS, and combined accelerometer-DAS data. While the results can accurately reproduce either type of data, the elastic models from the accelerator data outperform the other two in matching well logs and identifying the target reservoir. We attribute this result to the insignificant advantage of DAS data, in this case, over accelerometer data, which also suffers from single-component measurements and lower signal-to-noise ratios. The porosity and lithology models predicted from the accelerometer elastic models are reasonably accurate at the well location and are geologically meaningful in spatial distribution. Show more
Publication status
publishedExternal links
Book title
Third International Meeting for Applied Geoscience & Energy Expanded AbstractsJournal / series
SEG Technical Program Expanded AbstractsPages / Article No.
Publisher
Society of Exploration GeophysicistsEvent
Subject
FWI; reservoir characterization; baseline modelMore
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ETH Bibliography
yes
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