Title
Unraveling reservoir compaction parameters through the inversion of surface subsidence observations
Author
Muntendam-Bos, A.G.
Fokker, P.A.
TNO Bouw en Ondergrond
Publication year
2009
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. © Springer Science+Business Media B.V. 2008.
Subject
Compaction
Covariance
Delay
Inversion
Subsidence
Compaction
Markov processes
Monte Carlo methods
Natural gas fields
Statistical methods
Subsidence
Bayesian analysis
compaction
correlation
data assimilation
gas field
hydrocarbon reservoir
inverse analysis
Markov chain
Monte Carlo analysis
observational method
parameterization
spatiotemporal analysis
subsidence
Benelux
Eurasia
Europe
Netherlands
Western Europe
To reference this document use:
http://resolver.tudelft.nl/uuid:14bfc68d-af16-44ca-994e-bc40a724428d
TNO identifier
241322
ISSN
1420-0597
Source
Geophysical Research Letters, 13 (1), 43-55
Document type
article