Estimation of reservoir pressure and saturations by crossplot inversion of 4D seismic attributes

Lumley, David; Meadows, Mark A.; Cole, Steve; Adams, Donald C.

doi:10.1190/1.1817582

Cited by 32 publications

(18 citation statements)

References 9 publications

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“…The studies that have reported time lapse seismic measurements are limited to largescale applications, such as hydrocarbon reservoir exploration geophysics (Landro, 2001;Lumley et al, 2003) or the monitoring of geologic storage reservoirs (Draganov et al, 2012;Picotti et al, 2012). In the field of near-surface geophysics, the potential application of seismic methods for tracking time-variant processes has been assessed (Jefferson et al, 1998;West and Menke, 2000), although at more reduced spatial and temporal scales than those presented in this paper.…”

Section: Introductionmentioning

confidence: 89%

Time-lapse monitoring of climate effects on earthworks using surface waves

et al. 2016

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The UK's transportation network is supported by critical geotechnical assets (cuttings/embankments/dams) that require sustainable, cost-effective management, while maintaining an appropriate service level to meet social, economic, and environmental needs. Recent effects of extreme weather on these geotechnical assets have highlighted their vulnerability to climate variations. We have assessed the potential of surface wave data to portray the climate-related variations in mechanical properties of a clay-filled railway embankment. Seismic data were acquired bimonthly from July 2013 to November 2014 along the crest of a heritage railway embankment in southwest England. For each acquisition, the collected data were first processed to obtain a set of Rayleigh-wave dispersion and attenuation curves, referenced to the same spatial locations. These data were then analyzed to identify a coherent trend in their spatial and temporal variability. The relevance of the observed temporal variations was also verified with respect to the experimental data uncertainties. Finally, the surface wave dispersion data sets were inverted to reconstruct a time-lapse model of S-wave velocity for the embankment structure, using a least-squares laterally constrained inversion scheme. A key point of the inversion process was constituted by the estimation of a suitable initial model and the selection of adequate levels of spatial regularization. The initial model and the strength of spatial smoothing were then kept constant throughout the processing of all available data sets to ensure homogeneity of the procedure and comparability among the obtained V S sections. A continuous and coherent temporal pattern of surface wave data, and consequently of the reconstructed V S models, was identified. This pattern is related to the seasonal distribution of precipitation and soil water content measured on site.

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Section: Introductionmentioning

confidence: 89%

Time-lapse monitoring of climate effects on earthworks using surface waves

et al. 2016

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“…Despite their widespread application, the use of seismic techniques for time-lapse monitoring of geomechanical properties has, however, thus far been mainly restricted to large-scale applications, e.g., hydrocarbon reservoir exploration geophysics (among others, Landro, 2001;Lumley et al, 2003) or the monitoring of geologic storage reservoirs (e.g., Draganov et al, 2012;Picotti et al, 2012). In near-surface geophysics, the potential use of seismic techniques for tracking time-variant processes has been assessed (e.g., Jefferson et al, 1998;West and Menke, 2000), although at reduced spatial scales and spanning shorter time intervals (from hours to some days), when compared with those involved in this paper.…”

Section: Introductionmentioning

confidence: 99%

Time-lapse monitoring of fluid-induced geophysical property variations within an unstable earthwork using P-wave refraction

et al. 2016

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A significant portion of the UK's transportation system relies on a network of geotechnical earthworks (cuttings and embankments) that were constructed more than 100 years ago, whose stability is affected by the change in precipitation patterns experienced over the past few decades. The vulnerability of these structures requires a reliable, cost-and time-effective monitoring of their geomechanical condition. We have assessed the potential application of P-wave refraction for tracking the seasonal variations of seismic properties within an aged clay-filled railway embankment, located in southwest England. Seismic data were acquired repeatedly along the crest of the earthwork at regular time intervals, for a total period of 16 months. P-wave first-break times were picked from all available recorded traces, to obtain a set of hodocrones referenced to the same spatial locations, for various dates along the surveyed period of time. Traveltimes extracted from each acquisition were then compared to track the pattern of their temporal variability. The relevance of such variations over time was compared with the data experimental uncertainty. The multiple set of hodocrones was subsequently inverted using a tomographic approach, to retrieve a time-lapse model of V P for the embankment structure. To directly compare the reconstructed V P sections, identical initial models and spatial regularization were used for the inversion of all available data sets. A consistent temporal trend for P-wave traveltimes, and consequently for the reconstructed V P models, was identified. This pattern could be related to the seasonal distribution of precipitation and soil-water content measured on site.

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“…can be approximately extracted from time-lapse seismic survey (Tura and Lumey, 1999;Landrø, 2001;Cole et al, 2002;Lumley et al, 2003;MacBeth et al, 2006). However, it is important to note that this is not a limitation.…”

Section: Numerical Experimentsmentioning

confidence: 99%

A Multiscale Method For Data Assimilation

Moraes

Hajibeygi

2018

Proceedings

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In data assimilation problems, various types of data are naturally linked to different spatial resolutions (e.g. seismic and electromagnetic data), and these scales are usually not coincident to the subsurface simulation model scale. Alternatives like down/upscaling of the data and/or the simulation model can be used, but with potential loss of important information. To address this issue, a novel Multiscale (MS) data assimilation method is introduced. The overall idea of the method is to keep uncertain parameters and observed data at their original representation scale, avoiding down/upscaling of any quantity. The method relies on a recently developed mathematical framework to compute adjoint gradients via a MS strategy. The fine-scale uncertain parameters are directly updated and the MS grid is constructed in a resolution that meets the observed data resolution. The advantages of the technique are demonstrated in the assimilation of data represented at a coarser scale than the simulation model. The misfit objective function is constructed to keep the MS nature of the problem. The regularization term is represented at the simulation model (fine) scale, whereas the data misfit term is represented at the observed data (coarse) scale. The performance of the method is demonstrated in synthetic models and compared to down/upscaling strategies. The experiments show that the MS strategy provides advantages 1) on the computational side -expensive operations are only performed at the coarse scale; 2) with respect to accuracy -the matched uncertain parameter distribution is closer to the "truth"; and 3) in the optimization performance -faster convergence behaviour due to faster gradient computation. In conclusion, the newly developed method is capable of providing superior results when compared to strategies that rely on the up/downscaling of the response/observed data, addressing the scale dissimilarity via a robust, consistent MS strategy.

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Estimation of reservoir pressure and saturations by crossplot inversion of 4D seismic attributes

Cited by 32 publications

References 9 publications

Time-lapse monitoring of climate effects on earthworks using surface waves

Time-lapse monitoring of climate effects on earthworks using surface waves

Time-lapse monitoring of fluid-induced geophysical property variations within an unstable earthwork using P-wave refraction

A Multiscale Method For Data Assimilation

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