3D Waveform Inversion on Valhall Wide-azimuth OBC

Sirgue, L.; Barkved, O. I.; Gestel, J. P. Van; Askim, O.J.; Kommedal, Jan H.

doi:10.3997/2214-4609.201400395

Cited by 129 publications

(27 citation statements)

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“…Several studies about FWI applications on Valhall use tomographic models as initial models (Sirgue et al, 2009;Prieux et al, 2011Prieux et al, , 2013Liu et al, 2013;Schiemenz and Igel, 2013). Because this study focuses on the time-lapse application, it is not necessary to start from a very simple model.…”

Section: Initial Velocity Modelmentioning

confidence: 99%

“…A permanent OBC system was installed in 2003 to enable frequently repeated time-lapse surveys to help manage the field. Due to the wide aperture and high quality of the surveys, numerous studies on 2D and 3D FWI use Valhall data (e.g., Sirgue et al, 2009;Prieux et al, 2011Prieux et al, , 2013Liu et al, 2013;Schiemenz and Igel, 2013). Barkved et al (2010) discuss the potential business impact of FWI and time-lapse FWI on Valhall, but technical details and comparisons between time-lapse FWI approaches were not presented.…”

Section: Introductionmentioning

confidence: 99%

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Time-lapse full-waveform inversion with ocean-bottom-cable data: Application on Valhall field

et al. 2016

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Knowledge of changes in reservoir properties resulting from extracting hydrocarbons or injecting fluid is critical to future production planning. Full-waveform inversion (FWI) of time-lapse seismic data provides a quantitative approach to characterize the changes by taking the difference of the inverted baseline and monitor models. The baseline and monitor data sets can be inverted either independently or jointly. Time-lapse seismic data collected by ocean-bottom cables (OBCs) in the Valhall field in the North Sea are suitable for such time-lapse FWI practice because the acquisitions are of a long offset, and the surveys are well-repeated. We have applied independent and joint FWI schemes to two time-lapse Valhall OBC data sets, which were acquired 28 months apart. The joint FWI scheme is doubledifference waveform inversion (DDWI), which inverts differenced data (the monitor survey subtracted by the baseline survey) for model changes. We have found that DDWI gave a cleaner and more easily interpreted image of the reservoir changes compared with that obtained with the independent FWI schemes. A synthetic example is used to demonstrate the advantage of DDWI in mitigating spurious estimates of property changes and to provide cross validations for the Valhall data results.

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Section: Initial Velocity Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Time-lapse full-waveform inversion with ocean-bottom-cable data: Application on Valhall field

et al. 2016

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“…The Valhall FWI is one of the first to apply frequency-domain FWI on a full-scale 3D wide-azimuth data set (Sirgue et al 2009). The inversion was applied on a range of frequencies between 3.5-7Hz and used commonreceiver gathers as input.…”

Section: Impact Of Full Waveform Inversion For Improving the Static Imentioning

confidence: 99%

Seismic Full Waveform Inversion improves Valhall Reservoir Management

et al. 2013

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“…Full-waveform inversion (FWI) methods are the last improvement of these seismic imaging methods and can provide high-resolution images of effective seismic attributes. As an example, acoustic properties (Sirgue et al, 2009), multiparameter elastic and anisotropic properties (Prieux et al, 2013a(Prieux et al, , 2013b, and attenuations (Malinowski et al, 2011) are now obtained from FWI with a vertical resolution of a half-wavelength (Sirgue and Pratt, 2004) and even better for lateral resolution. This work presents a strategy to estimate rock physics properties by inverting the effective medium properties derived from FWI.…”

Section: Introductionmentioning

confidence: 99%

Estimation of rock physics properties from seismic attributes — Part 2: Applications

et al. 2016

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The estimation of quantitative rock physics properties is of great importance for reservoir characterization and monitoring in CO 2 storage or enhanced oil recovery as an example. We have combined the high-resolution results of full-waveform inversion (FWI) methods with rock physics inversion. Because we consider a generic and dynamic rock physics model, our method is applicable to most kinds of rocks for a wide range of frequencies. The first step allows determination of viscoelastic effective properties, i.e., quantitative seismic attributes, whereas the rock physics inversion estimates rock physics properties (porosity, solid frame moduli, fluid phase properties, or saturation). This two-step workflow is applied to time-lapse synthetic and field cases. The sensitivity tests that we had previously carried out showed that it can be crucial to use multiparameter inputs to accurately recover fluid saturations and fluid properties. However, due to the limited data availability and difficulties in getting reliable multiparameter FWI results, we are limited to acoustic FWI results. The synthetic tests are conclusive even if they are favorable cases. For the first time-lapse fluid substitution synthetic case, we first characterize the rock frame parameters on the baseline model using P-wave velocity estimations obtained by acoustic FWI. Then, we obtain an accurate estimation of fluid bulk modulus from the time-lapse P-wave velocity. In the Marmousi synthetic case, the rock frame properties are accurately recovered for the baseline model, whereas the gas saturation change in the monitor model is not estimated correctly. On the field data example (time-lapse monitoring of an underground blowout in the North Sea), the estimation of rock frame properties gives results on a relatively narrow range, and we use this estimation as a starting model for the gas saturation inversion. We have found that the estimation of the gas saturation is not accurate enough, and the use of attenuation data is then required. However, the uncertainty on the estimation of baseline rock frame properties is not critical to monitor gas saturation changes.

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3D Waveform Inversion on Valhall Wide-azimuth OBC

Cited by 129 publications

References 0 publications

Time-lapse full-waveform inversion with ocean-bottom-cable data: Application on Valhall field

Time-lapse full-waveform inversion with ocean-bottom-cable data: Application on Valhall field

Seismic Full Waveform Inversion improves Valhall Reservoir Management

Estimation of rock physics properties from seismic attributes — Part 2: Applications

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