Joint stratigraphic inversion of angle‐limited stacks

Tonellot, Thierry; Macé, D.; Richard, Vincent

doi:10.1190/1.1816577

Cited by 52 publications

(12 citation statements)

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“…The pre-stack stratigraphic inversion algorithm described by Tonellot et al (2001) was applied to a 750-1400 ms time window. Strong weighting was given to the a priori information, by stipulating high correlation length values, because the geological layers are relatively flat and there is only weak lateral variation of impedance outside of the CO 2 plume.…”

Section: Right) Vertical Distributions Of Acoustic Impedance Obtainementioning

confidence: 99%

Quantitative analysis of time-lapse seismic monitoring data at the Sleipner CO2 storage operation

Chadwick

Williams

Delépine³

et al. 2010

The Leading Edge

224

109

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The CO 2 storage operation at Sleipner in the Norwegian North Sea provides an excellent demonstration of the application of time-lapse surface seismic methods to CO 2 plume monitoring under favourable conditions. Injection commenced at Sleipner in 1996 with CO 2 separated from natural gas being injected into the Utsira Sand, a major saline aquifer of late Cenozoic age. CO 2 injection is via a near-horizontal well, at a depth of about 1012 m bsl, some 200 m below the reservoir top, at a rate approaching 1 million tonnes (Mt) per year, with more than 11 Mt currently stored.A comprehensive time-lapse surface seismic programme has been carried out, with 3D surveys in 1994, 1999, 2001, 2002, 2004, 2006 and 2008. Key aims of the seismic monitoring are to track plume migration, demonstrate containment within the storage reservoir and provide quantitative information as a means to better understand detailed flow processes controlling development of the plume in the reservoir.The CO 2 plume is imaged as a number of bright sub-horizontal reflections within the reservoir, growing with time ( Figure 1). The reflections mostly comprise tuned wavelets arising from thin (mostly < 8 m thick) layers of CO 2 trapped beneath very thin intra-reservoir mudstones and the reservoir caprock. The plume is roughly 200 m high and elliptical in plan, with a major axis increasing to over 3000 m by 2008. As well as its prominent reflectivity, the plume also produces a large velocity pushdown caused by the seismic waves travelling more slowly through CO 2 -saturated rock than through the virgin aquifer. This paper summarises some of the quantitative methods that have been applied to the Sleipner seismic datasets.

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Section: Right) Vertical Distributions Of Acoustic Impedance Obtainementioning

confidence: 99%

Quantitative analysis of time-lapse seismic monitoring data at the Sleipner CO2 storage operation

Chadwick

Williams

Delépine³

et al. 2010

The Leading Edge

224

109

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“…The stratigraphic inversions run at step 1 follow the methodology described in Tonellot et al (2001). Each dataset (baseline and monitors) is inverted in its own traveltime basis.…”

Section: Three-step Time-lapse Stratigraphic Inversion Workflowmentioning

confidence: 99%

“…The final results are 3D optimal models parameterized in P-wave impedance, S-wave impedance and density, consistent with all the input data. Similar to the poststack (Brac et al, 1988) and prestack (Tonellot et al, 2001) stratigraphic inversion techniques, the joint stratigraphic inversion methodology is based on a Bayesian formalism, where uncertainties are described by Gaussian probabilities with covariance operators C d in the data space and C m in the model space.…”

Section: Three-step Time-lapse Stratigraphic Inversion Workflowmentioning

confidence: 99%

4D Joint Stratigraphic Inversion of Prestack Seismic Data: Application to the CO₂Storage Reservoir (Utsira Sand Formation) at Sleipner Site

Labat

Delépine

Clochard

et al. 2012

Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles

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Résumé -Inversion stratigraphique jointe 4D de données sismiques avant sommation : application au réservoir de stockage de CO 2 (Formation Utsira) du site de Sleipner -Le monitoring sismique est couramment utilisé dans l'industrie pétrolière pour suivre l'évolution des propriétés des réservoirs au cours de leur production. Nous présentons ici une méthodologie d'inversion stratigraphique 4D qui fournit une estimation des variations d'impédances des ondes P et S dans le réservoir, par inversion de données de sismiques répétées avant-sommation. L'inversion 4D est implémentée dans le domaine temps et nécessite une loi de mise à l'échelle des temps de trajets pour chaque jeu de données de sismique répétée (aussi appelé "millésime") afin de mettre en correspondance les temps d'arrivée d'événements homologues observés sur les jeux de données appelés référence et monitors. Cette opération est souvent appelée "warping". L'inversion 4D est une méthodologie qui comporte trois étapes : la première étape consiste à inverser chaque millésime sismique séparément, pour produire autant de distributions en impédances P et S que de jeux de données considérés. La seconde étape utilise l'information des impédances P disponibles pour résoudre le problème du warping, qui est un point clé pour la troisième et dernière étape : l'inversion jointe de tous les millésimes sismiques disponibles. Cette séquence d'inversion 4D a été appliquée aux jeux de données enregistrés sur le réservoir de stockage de CO 2 du site norvégien de Sleipner (Mer du Nord). Ce dernier est devenu un site industriel de référence pour le stockage à long terme du dioxyde de carbone (CO 2 ) dans un aquifère salin, la formation des sables de l'Utsira. Nous avons focalisé notre étude sur l'inversion 4D des millésimes 1994 et 2006, acquise respectivement avant et dix ans après le début de l'injection de CO 2 . Le warping a fourni une loi de mise à l'échelle des temps de propagation avec un retard maximum d'environ 45 ms à la base de l'aquifère Utsira. L'inversion 4D jointe a donné des résultats plus cohérents que les inversions 3D : l'inversion 4D fournit en particulier des impédances P pour les grès saturés en CO 2 qui sont très proches des valeurs fournies par la physique des roches. Abstract

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“…Seismic amplitude is appropriate for structural interpretation because it reflects the presence of an interface between two layers of different elastic properties, but also carries information on elastic properties themselves (impedances) that can be extracted from seismic amplitudes by means of stratigraphic inversion. Most algorithms and software solutions rely on the acoustic approximation of the elastic wave equation, which allows us to model seismic amplitudes with the convolution model (Tonellot et al 2001). This approximation, which is based on Zoeppritz equations (Aki & Richards 1980), allows the direct estimation of an optimal elastic model in compressional and shear impedances, under the constraint of geological and petrophysical a priori information.…”

Section: Pre-stack Seismic Data Inversionmentioning

confidence: 99%

Using production data and time domain seismic attributes for history matching

Fornel

Mezghani

Langlais

2007

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A fundamental goal of oil and gas reservoir characterization is to enhance the reliability of dynamic fluid flow simulation studies through better description of geological heterogeneity. Ideally, the geological model should be updated in real time with all available data (especially information derived from seismic, production, well test and core studies) to achieve significant optimization of field management. Such an update can lead to much improved understanding of the dynamic reservoir production forecasting. To this end we propose an integrated technique for improved geological modelling and reservoir characterization, which is based on a non-linear optimization loop for quantitative use of 4D seismic data in combination with production data.

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Joint stratigraphic inversion of angle‐limited stacks

Cited by 52 publications

References 0 publications

Quantitative analysis of time-lapse seismic monitoring data at the Sleipner CO2 storage operation

Quantitative analysis of time-lapse seismic monitoring data at the Sleipner CO2 storage operation

4D Joint Stratigraphic Inversion of Prestack Seismic Data: Application to the CO₂Storage Reservoir (Utsira Sand Formation) at Sleipner Site

Using production data and time domain seismic attributes for history matching

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Joint stratigraphic inversion of angle‐limited stacks

Cited by 52 publications

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Quantitative analysis of time-lapse seismic monitoring data at the Sleipner CO2 storage operation

Quantitative analysis of time-lapse seismic monitoring data at the Sleipner CO2 storage operation

4D Joint Stratigraphic Inversion of Prestack Seismic Data: Application to the CO2Storage Reservoir (Utsira Sand Formation) at Sleipner Site

Using production data and time domain seismic attributes for history matching

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4D Joint Stratigraphic Inversion of Prestack Seismic Data: Application to the CO₂Storage Reservoir (Utsira Sand Formation) at Sleipner Site