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Book Chapter

Forward modelling as a method for predicting the distribution of deep-marine sands: an example from the Peïra Cava Sub-basin

By
Tor Even Aas
Tor Even Aas
CIPR, University of Bergen, Allegaten 41, Bergen, 5007 NorwayPresent address: Statoil ASA, Svanholmen 8, Stavanger, Norway
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Riccardo Basani
Riccardo Basani
Complex Flow Design, Trondheim, Norway
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John Howell
John Howell
CIPR, University of Bergen, Allegaten 41, Bergen, 5007 Norway
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Ernst Hansen
Ernst Hansen
Complex Flow Design, Trondheim, Norway
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Published:
January 01, 2014

Abstract

The aerial extent, thickness and internal distribution of grain-size are key, bed-scale controls on turbidite reservoir performance. Process-based modelling provides a method for predicting both the sandbody thickness and the grain-size distribution within the bed. The goal of the current study is to test such an approach on the Annot Sandstone in the Peïra Cava Sub-basin in SE France, and determine whether the process-based model can reliably recreate the bed characteristics observed in the outcrop. Turbidity currents were modelled using a commercially available software solution called MassFlow3D that is based on computational fluid dynamics. The goal of the current study was to accurately replicate a single bed (termed MU5). To achieve this goal, the base of the basin was structurally restored and then a simplified simulation of the beds below MU5 was generated using four flow events in order to recreate the bathymetry on to which MU5 was simulated. Several versions of MU5 were simulated with different input parameters for the flow, and the results were compared with the observed thickness and grain-size distribution from the outcrop. The study suggests that process-based modelling has the potential to be a useful tool in reservoir modelling.

Supplementary material:

Multi-phase flow modelling of transport, deposition and erosion of sediments is available at http://www.geolsoc.org.uk/SUP18719.

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Contents

Geological Society, London, Special Publications

Sediment-Body Geometry and Heterogeneity: Analogue Studies for Modelling the Subsurface

A. W. Martinius
A. W. Martinius
Statoil RDI, Norway
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J. A. Howell
J. A. Howell
University of Aberdeen, UK
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T. R. Good
T. R. Good
ExxonMobil International Ltd, UK
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Geological Society of London
Volume
387
ISBN electronic:
9781862396616
Publication date:
January 01, 2014

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