Monitoring viscosity changes from time‐lapse seismic attenuation: case study from a heavy oil reservoir

Shabelansky, Andrey Hanan; Malcolm, Alison; Fehler, Michael

doi:10.1111/1365-2478.12229

Cited by 12 publications

(5 citation statements)

References 37 publications

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“…Several subsequent studies investigated attenuation in partially saturated media [e.g., Guennou, 2012, Müller et al, 2010], and most of them confirmed the strong magnitude of attenuation as observed by Mavko and Nur [1979]. Moreover, the direct link between fluid viscosity and attenuation allowed Shabelansky et al [2015] to use the latter as a proxy to monitor the viscosity changes during the heating of heavy oil reservoirs, and hence to manage the production.…”

Section: Introductionmentioning

confidence: 85%

Compressional and shear wave attenuations from walkway VSP and sonic data in an offshore Abu Dhabi oilfield

Bouchaala¹,

Ali²,

Matsushima³

2021

Comptes Rendus. Géoscience

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Seismic attenuation was estimated from compressional (P) and shear (S) waves carefully extracted from three-component vertical seismic profiling (VSP) data. A high sensitivity of attenuation to fluid content was noticed, which shows the advantage of its use as a seismic attribute for reservoir studies. Contrary to most observations in fully saturated sandstones, the magnitude of P to S wave attenuation in the studied carbonate reservoir zones is higher than one. This disagreement is most probably because the fluid flow models developed to describe the attenuation mechanisms in sandstones are not valid for carbonate rocks due their complex texture. Moreover, the magnitude of seismic attenuation in the reservoir zones is controlled by the saturation of pore fluids and clay content. Furthermore, the attenuation magnitudes obtained at sonic and VSP frequencies are of the same order, and compressional and shear attenuations show similar variation at both frequencies. This indicates frequency-independent attenuations in the studied oilfield.

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Section: Introductionmentioning

confidence: 85%

Compressional and shear wave attenuations from walkway VSP and sonic data in an offshore Abu Dhabi oilfield

Bouchaala¹,

Ali²,

Matsushima³

2021

Comptes Rendus. Géoscience

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show abstract

“…More advanced imaging methods traditionally only applicable in exploration seismology (Shabelansky et al, 2014) or even medical imaging (Robert and Fink, 2008;Touma et al, 2020) can be used for passive seismology. Recently several migration methods have been developed to image subsuface discontinues with converted phases (Shabelansky et al, 2014(Shabelansky et al, , 2015Pollitz, 2019). These methods show the advantage of using just a few earthquakes and a receiver array on the surface to image subsurface structures, such as vertical faults, which are generally hard for traditional imaging methods.…”

Section: Advanced Imaging Methodsmentioning

confidence: 99%

Structure and mechanics of the subducted Gorda plate: constrained by afterslip simulations and scattered seismic waves

Gong¹

2021

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“…In order to disentangle the source and path effects, SymAE associates the path effects to the dissimilarities among the arrivals recorded at multiple receiver stations, and the remaining similarities are identified as the source. Existing signal processing methods that extract the time-lapse attenuation changes also utilize the relative changes in the amplitude and phase spectra among various arrivals in the data (Rickett, 2007;Shabelansky et al, 2015). Bharadwaj et al (2019) proposed a blind-deconvolution algorithm, which also extracts dissimilarities in the multichannel records using focusing constraints, but assumes that the path effects are front-loaded in time.…”

Section: Time Lapse Monitoringmentioning

confidence: 99%

SymAE: An autoencoder with embedded physical symmetries for passive time-lapse monitoring

Bharadwaj

Demanet

2020

SEG Technical Program Expanded Abstracts 2020

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We introduce SymAE, an auto-encoder architecture that learns to separate multichannel passive-seismic datasets into qualitatively interpretable components: one component corresponds to path-specific effects associated with subsurface properties while the other component corresponds to the spectral signature of the passive sources. This information is represented by two latent codes produced by our encoder. The novelty that enables SymAE to achieve this separation lies with the physical symmetries that are directly embedded into the architectural design of the encoder. These symmetries impose that 1. the output of the source-specific encoder is indifferent to the ordering of the receivers; and 2. the output of the path-specific encoder is indifferent to the source signatures. Our numerical experiments demonstrate that this is sufficient for achieving the intended separation.The ability to qualitatively distinguish between source-and path-induced effects plays a critical role for time-lapse monitoring of visco-acoustic subsurface models where data is generated from induced passive seismic sources e.g., during CO2 injection or hydraulic fracturing. Here the problem suffers from inherent ambiguities in whether the time-lapse changes in the data should be attributed to subsurface changes such as P-wave velocity, mass density, and seismic quality factor (i.e., path effects) or because of difficulties in physicallyreproducing the source wavelet (i.e. source effects). SymAE resolves these ambiguities by construction and enables reliable subsurface monitoring in these settings. We provide numerical results to show that we can accurately detect changes arising from both effects.

show abstract

Monitoring viscosity changes from time‐lapse seismic attenuation: case study from a heavy oil reservoir

Cited by 12 publications

References 37 publications

Compressional and shear wave attenuations from walkway VSP and sonic data in an offshore Abu Dhabi oilfield

Compressional and shear wave attenuations from walkway VSP and sonic data in an offshore Abu Dhabi oilfield

Structure and mechanics of the subducted Gorda plate: constrained by afterslip simulations and scattered seismic waves

SymAE: An autoencoder with embedded physical symmetries for passive time-lapse monitoring

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