3D Modelling of Stacked Turbidite Channels – Impact on Dynamic Reservoir Simulations

Labourdette, Richard; Seguin, J.; Biver, Pierre; Temple, F.; Hegre, J. A.

doi:10.3997/2214-4609-pdb.3.a013

Cited by 2 publications

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“…Heterogenities within turbiditic channel deposits can have a dramatic impact on fluid flow and reservoir production [e.g., Gainski et al, 2010]. Mud-rich deposits such as margin drapes or slumps can obstruct fluid circulation and compartmentalize the reservoir depending on the stacking pattern [Labourdette et al, 2006], i.e., how channels position themselves in relation to each others. Significant changes in the stacking pattern can be observed even over short distances [Mayall and O'Byrne, 2002].…”

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confidence: 99%

A geostatistical approach to the simulation of stacked channels

Rongier

Collon

Renard

2017

Marine and Petroleum Geology

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International audienceTurbiditic channels evolve continuously in relation to erosion-deposition events. They are often gathered into complexes and display various stacking patterns. These patterns have a direct impact on the connectivity of sand-rich deposits. Being able to reproduce them in stochastic simulations is thus of significant importance. We propose a geometrical and descriptive approach to stochastically control the channel stacking patterns. This approach relies on the simulation of an initial channel using a Lindenmayer system. This system migrates proportionally to a migration factor through either a forward or a backward migration process. The migration factor is simulated using a sequential Gaussian simulation or a multiple-point simulation. Avulsions are performed using a Lindenmayer system, similarly to the initial channel simulation. This method makes it possible to control the connectivity between the channels by adjusting the geometry of the migrating areas. It furnishes encouraging results with both forward and backward migration processes, even if some aspects such as data conditioning still need to be explored

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confidence: 99%

A geostatistical approach to the simulation of stacked channels

Rongier

Collon

Renard

2017

Marine and Petroleum Geology

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“…Such flow barriers take the shape of mudstone drapes along the channel margins, of margin failure deposits, of channel abandonment deposits, etc. They can have a significant impact of the fluid flow [e.g., Labourdette et al, 2006, Pranter et al, 2007, Alpak et al, 2013, Issautier et al, 2013 and on the aquifer compartmentalization, with sometimes important consequences when they are ignored [see for instance Gainski et al, 2010, in a oil exploitation context]. Our method could clearly help to distinguish between several images from their differences in static connectivity -such images including realizations from different methods and/or parameter values or referring models.…”

Section: Impact Of the Connected Components On The Owmentioning

confidence: 99%

Comparing connected structures in ensemble of random fields

Rongier

Collon

Renard

et al. 2016

Advances in Water Resources

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International audienceVery different connectivity patterns may arise from using different simulation methods or sets of parameters, and therefore different flow properties. This paper proposes a systematic method to compare ensemble of categorical simulations from a static connectivity point of view. The differences of static connectivity cannot always be distinguished using two point statistics. In addition, multiple-point histograms only provide a statistical comparison of patterns regardless of the connectivity. Thus, we propose to characterize the static connectivity from a set of 12 indicators based on the connected components of the realizations. Some indicators describe the spatial repartition of the connected components, others their global shape or their topology through the component skeletons. We also gather all the indicators into dissimilarity values to easily compare hundreds of realizations. Heat maps and multidimensional scaling then facilitate the dissimilarity analysis. The application to a synthetic case highlights the impact of the grid size on the connectivity and the indicators. Such impact disappears when comparing samples of the realizations with the same sizes. The method is then able to rank realizations from a referring model based on their static connectivity. This application also gives rise to more practical advices. The multidimensional scaling appears as a powerful visualization tool, but it also induces dissimilarity misrepresentations: it should always be interpreted cautiously with a look at the point position confidence. The heat map displays the real dissimilarities and is more appropriate for a detailed analysis. The comparison with a multiple-point histogram method shows the benefit of the connected components: the large-scale connectivity seems better characterized by our indicators, especially the skeleton indicators

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3D Modelling of Stacked Turbidite Channels – Impact on Dynamic Reservoir Simulations

Cited by 2 publications

References 0 publications

A geostatistical approach to the simulation of stacked channels

A geostatistical approach to the simulation of stacked channels

Comparing connected structures in ensemble of random fields

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