Unraveling reservoir compaction parameters through the inversion of surface subsidence observations |
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Authors: | A G Muntendam-Bos P A Fokker |
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Institution: | (1) TNO Built Environment and Geosciences - Geological Survey of the Netherlands, Postbus 80015, 3508 TA Utrecht, The Netherlands |
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Abstract: | In an attempt to derive more information on the parameters driving compaction, this paper explores the feasibility of a method
utilizing data on compaction-induced subsidence. We commence by using a Bayesian inversion scheme to infer the reservoir compaction
from subsidence observations. The method’s strength is that it incorporates all the spatial and temporal correlations imposed
by the geology and reservoir data. Subsequently, the contributions of the driving parameters are unravelled. We apply the
approach to a synthetic model of an upscaled gas field in the northern Netherlands. We find that the inversion procedure leads
to coupling between the driving parameters, as it does not discriminate between the individual contributions to the compaction.
The provisional assessment of the parameter values shows that, in order to identify adequate estimate ranges for the driving
parameters, a proper parameter estimation procedure (Markov Chain Monte Carlo, data assimilation) is necessary. |
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Keywords: | Subsidence Compaction Delay Covariance Inversion |
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