Full Wavefield Inversion of Ocean Bottom Node Data

Bansal, Reeshidev; Routh, Partha S.; Krebs, Jerry; Lee, Sunwoong; Baumstein, Anatoly; Anderson, J. E.; Downey, Nathan; Lazaratos, Spyros; Lu, Ruqian; Saldarriaga, S.

doi:10.3997/2214-4609.20130828

Cited by 5 publications

(3 citation statements)

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“…Nice applications have been shown at intermediate and high frequencies in both 2D and 3D problems (Shipp and Singh ; Bansal et al . ; Lu et al . ).…”

Section: Introductionmentioning

confidence: 99%

Time‐lapse seismic imaging using regularized full‐waveform inversion with a prior model: which strategy?

Asnaashari

Brossier

Garambois

et al. 2014

Geophysical Prospecting

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Full‐waveform inversion is an appealing technique for time‐lapse imaging, especially when prior model information is included into the inversion workflow. Once the baseline reconstruction is achieved, several strategies can be used to assess the physical parameter changes, such as parallel difference (two separate inversions of baseline and monitor data sets), sequential difference (inversion of the monitor data set starting from the recovered baseline model) and double‐difference (inversion of the difference data starting from the recovered baseline model) strategies. Using synthetic Marmousi data sets, we investigate which strategy should be adopted to obtain more robust and more accurate time‐lapse velocity changes in noise‐free and noisy environments. This synthetic application demonstrates that the double‐difference strategy provides the more robust time‐lapse result. In addition, we propose a target‐oriented time‐lapse imaging using regularized full‐waveform inversion including a prior model and model weighting, if the prior information exists on the location of expected variations. This scheme applies strong prior model constraints outside of the expected areas of time‐lapse changes and relatively less prior constraints in the time‐lapse target zones. In application of this process to the Marmousi model data set, the local resolution analysis performed with spike tests shows that the target‐oriented inversion prevents the occurrence of artefacts outside the target areas, which could contaminate and compromise the reconstruction of the effective time‐lapse changes, especially when using the sequential difference strategy. In a strongly noisy case, the target‐oriented prior model weighting ensures the same behaviour for both time‐lapse strategies, the double‐difference and the sequential difference strategies and leads to a more robust reconstruction of the weak time‐lapse changes. The double‐difference strategy can deliver more accurate time‐lapse variation since it can focus to invert the difference data. However, the double‐difference strategy requires a preprocessing step on data sets such as time‐lapse binning to have a similar source/receiver location between two surveys, while the sequential difference needs less this requirement. If we have prior information about the area of changes, the target‐oriented sequential difference strategy can be an alternative and can provide the same robust result as the double‐difference strategy.

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“…Nice applications have been shown at intermediate and high frequencies in both 2D and 3D problems (Shipp and Singh ; Bansal et al . ; Lu et al . ).…”

Section: Introductionmentioning

confidence: 99%

Time‐lapse seismic imaging using regularized full‐waveform inversion with a prior model: which strategy?

Asnaashari

Brossier

Garambois

et al. 2014

Geophysical Prospecting

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“…FWI, as it has come to be widely applied across the petroleum industry, uses wide-angle, long-offset, lowfrequency data that are dominated by forward-scattered, refracted, transmitted arrivals (Sirgue 2006;Prieux et al 2011;Vigh et al 2011;Mothi et al 2013;Vigh et al 2013a;Yoon et al 2014). With few exceptions (Guasch et al 2012;Lu et al 2013;Vigh et al 2013b), commercial FWI uses an acoustic approximation to the wave equation (Virieux & Operto 2009;Kapoor et al 2013) and commonly includes the kinematic (traveltime) effects of P-wave anisotropy (Bansal et al 2013;Jones et al 2013;Selwood et al 2013;Warner et al 2013). The clear verifiable success of acoustic inversions is somewhat surprising given that they cannot properly account for viscoelastic and other effects in field data.…”

Section: F U L L -Wav E F O R M I N V E R S I O Nmentioning

confidence: 99%

“…Plessix & Perkins 2010;Sirgue et al 2010;Ratcliffe et al 2011;Kapoor et al 2012;Houbiers et al 2013;Jones et al 2013;Selwood et al 2013;Warner et al 2013). To date, 3-D FWI has been predominantly applied to industrial streamer (Jones et al 2013), ocean-bottom-cable (Sirgue et al 2010) and dense oceanbottom-node data (Bansal et al 2013) which more-than-adequately sample the subsurface for FWI applications, meaning there is significant data redundancy and only a subset of the data set is utilized when running inversions (Warner et al 2013). The relatively short shot-receiver offsets (<10 km) in such experiments, as well as the dense coverage, means that noise is not a significant issue and that these inversions can often be run with only minimal regularization (Plessix & Perkins 2010).…”

Section: Introductionmentioning

confidence: 99%

Next-generation seismic experiments – II: wide-angle, multi-azimuth, 3-D, full-waveform inversion of sparse field data

Morgan¹,

Warner²,

Arnoux

et al. 2016

Geophys. J. Int.

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S U M M A R Y3-D full-waveform inversion (FWI) is an advanced seismic imaging technique that has been widely adopted by the oil and gas industry to obtain high-fidelity models of P-wave velocity that lead to improvements in migrated images of the reservoir. Most industrial applications of 3-D FWI model the acoustic wavefield, often account for the kinematic effect of anisotropy, and focus on matching the low-frequency component of the early arriving refractions that are most sensitive to P-wave velocity structure. Here, we have adopted the same approach in an application of 3-D acoustic, anisotropic FWI to an ocean-bottom-seismometer (OBS) field data set acquired across the Endeavour oceanic spreading centre in the northeastern Pacific. Starting models for P-wave velocity and anisotropy were obtained from traveltime tomography; during FWI, velocity is updated whereas anisotropy is kept fixed. We demonstrate that, for the Endeavour field data set, 3-D FWI is able to recover fine-scale velocity structure with a resolution that is 2-4 times better than conventional traveltime tomography. Quality assurance procedures have been employed to monitor each step of the workflow; these are time consuming but critical to the development of a successful inversion strategy. Finally, a suite of checkerboard tests has been performed which shows that the full potential resolution of FWI can be obtained if we acquire a 3-D survey with a slightly denser shot and receiver spacing than is usual for an academic experiment. We anticipate that this exciting development will encourage future seismic investigations of earth science targets that would benefit from the superior resolution offered by 3-D FWI.

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Investigating the use of 3-D full-waveform inversion to characterize the host rock at a geological disposal site

Bentham

Morgan

Angus

2018

Geophysical Journal International

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Full Wavefield Inversion of Ocean Bottom Node Data

Cited by 5 publications

References 0 publications

Time‐lapse seismic imaging using regularized full‐waveform inversion with a prior model: which strategy?

Time‐lapse seismic imaging using regularized full‐waveform inversion with a prior model: which strategy?

Next-generation seismic experiments – II: wide-angle, multi-azimuth, 3-D, full-waveform inversion of sparse field data

Investigating the use of 3-D full-waveform inversion to characterize the host rock at a geological disposal site

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