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Relevance of the stochastic stratigraphic well correlation approach for the study of complex carbonate settings: application to the Malampaya buildup (Offshore Palawan, Philippines)

By
Florent Lallier
Florent Lallier
UPR 2300 CRPG-CNRS, 15 rue Notre-Dame des Pauvres, 54500 Vandœuvre-lès-Nancy, France
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Guillaume Caumon
Guillaume Caumon
UPR 2300 CRPG-CNRS, 15 rue Notre-Dame des Pauvres, 54500 Vandœuvre-lès-Nancy, FranceUniversité de Lorraine-ENSG, rue du Doyen M. Roubault, 54500 Vandœuvre-lès-Nancy, France
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Jean Borgomano
Jean Borgomano
CEREGE, UMR 7330, Case 67, Aix-Marseille Université, Centre St Charles, 3 place Victor Hugo, 13331 Marseille cedex 03, France
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Sophie Viseur
Sophie Viseur
CEREGE, UMR 7330, Case 67, Aix-Marseille Université, Centre St Charles, 3 place Victor Hugo, 13331 Marseille cedex 03, France
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Francois Fournier
Francois Fournier
CEREGE, UMR 7330, Case 67, Aix-Marseille Université, Centre St Charles, 3 place Victor Hugo, 13331 Marseille cedex 03, France
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Christophe Antoine
Christophe Antoine
ASGA, rue du doyen Marcel Roubault, BP 40, 54501 Vandoeuvre-lès-Nancy, France
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Théophile Gentilhomme
Théophile Gentilhomme
UPR 2300 CRPG-CNRS, 15 rue Notre-Dame des Pauvres, 54500 Vandœuvre-lès-Nancy, FranceCGGVeritas, 27 avenue Carnot, 91300 Massy, France
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Published:
January 01, 2012

Abstract

The stochastic stratigraphic well correlation method considers the stratigraphic correlation of well data as a set of possible models to sample and manage uncertainty in subsurface studies. This method was applied to the Malampaya buildup (a well documented offshore gas field located NW of the Palawan Island, Philippines), aged upper Eocene to lower Miocene. Previous studies highlight that rock petrophysical properties are mainly controlled by diagenesis. Correlation rules are thus developed in order to adapt the stochastic stratigraphic well correlation method to the study of diagenetic units. These rules are based on wireline log shape and diagenetic units types. Four stratigraphic correlation models are generated using the proposed correlation method: a deterministic one corresponding to the most probable model considering only well data and three stochastic ones. These correlation models are bound with geostatistical methods to build static reservoir models. Synthetic seismic profiles are computed from facies models conditioned to acoustic impedance models. It leads to comparable seismic amplitude images, highlighting the importance of considering several well correlation models for one given seismic survey. Stochastic stratigraphic correlations are shown to have a first-order impact on reservoir unit characterization, rock volumes and fluid flow response on the reservoir model.

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Contents

Geological Society, London, Special Publications

Advances in Carbonate Exploration and Reservoir Analysis

J. Garland
J. Garland
Cambridge Carbonates Ltd, UK
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J. E. Neilson
J. E. Neilson
University of Aberdeen, UK
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S. E. Laubach
S. E. Laubach
University of Texas at Austin, USA
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K. J. Whidden
K. J. Whidden
USGS, USA
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Geological Society of London
Volume
370
ISBN electronic:
9781862396180
Publication date:
January 01, 2012

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