Business Impact of Full Waveform Inversion at Valhall

Barkved, O. I.; Heavey, Pete; Kommedal, Jan H.; Gestel, Jean‐Paul van; Synnøve, Ruth; Pettersen, Haga; Kent, Christopher; Albertin, Uwe

doi:10.1190/1.3513929

Cited by 20 publications

(19 citation statements)

References 6 publications

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“…Figure Barkved and Kristiansen (2005) document overburden changes of as much as 20 ms that are associated with compaction in the Valhall field. However, as discussed in Chapter 3, this compaction deforms the rocks outside the reservoir.…”

Section: Time-shift Observationsmentioning

confidence: 96%

Practical Applications of Time-lapse Seismic Data

Johnston

2013

127

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Section: Time-shift Observationsmentioning

confidence: 96%

Practical Applications of Time-lapse Seismic Data

Johnston

2013

127

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“…Integrated with reservoir modeling, LoFS system reduces the uncertainties in reservoir performance predictions (van Gestel et al, 2011). We expect the constraints on the reservoir model to be improved by extracting quantitative 4D changes from the LoFS data with time-lapse FWI (Barkved et al, 2010). Because FWI includes information on structure and properties from all the data in the surveys, individual analyses on overburden changes, reservoir compaction, and reservoir property changes are naturally integrated in time-lapse FWI.…”

Section: Time-lapse Fwi On Valhallmentioning

confidence: 99%

“…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%

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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“…The simplest mathematical statement of this least‐squares approach (ignoring regularization, data and model representation details and so on) is: where the modelling or prediction operator maps the model space – a set of possible models of the Earth’s structure – to the data space , a Hilbert space of possible data sets with the norm (error measure) ∥.∥. First proposed by Tarantola (1984) and others in the 1980s, this approach to seismic data processing has recently become feasible in 3D at the field scale and under favourable circumstances produces economically important information not obtainable in other ways (Barkved et al . 2010).…”

Section: Introductionmentioning

confidence: 99%

“…While we focus on time‐domain computations, much recent work on waveform inversion has employed the frequency domain (Pratt 1999; Sirgue and Pratt 2004; Brenders and Pratt 2007a; Brenders and Pratt 2007b; Plessix 2009; Brossier, Operto and Virieux 2009; Plessix et al 2010; Barkved et al 2010). Some aspects of our discussion also apply in that domain, for example the sufficient conditions for reuse of forward modelling kernels in adjoint modelling.…”

Section: Introductionmentioning

confidence: 99%

From modelling to inversion: designing a well‐adapted simulator

Symes¹,

Sun²,

Enríquez³

2011

Geophysical Prospecting

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A B S T R A C TThis paper describes a few mild design constraints that permit rapid adaptation of the modelling code for linear wave propagation to imaging/inversion or design optimization applications, retaining parallelism and other performance enhancements of the underlying simulator. It also describes an abstract software framework preserving the modularity of both optimization and modelling software in building inversion applications and illustrates this possibility via an example framework implemented in C++. Wave inverse problems tend to be afflicted by a variety of features, including extreme ill-conditioning and nonlinearity, which degrade the performance of optimization formulations. Extended modelling variants of least-squares inversion, motivated by migration velocity analysis, may relieve some of these difficulties. The framework described also accommodates these extensions to standard inversion.

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Business Impact of Full Waveform Inversion at Valhall

Cited by 20 publications

References 6 publications

Practical Applications of Time-lapse Seismic Data

Practical Applications of Time-lapse Seismic Data

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

From modelling to inversion: designing a well‐adapted simulator

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