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Integrated Reservoir Model of a Channelized Turbidite Reservoir: Geostatistical Geological Modeling Honoring a Quantitative 3D Seismic Constraint

By
Olivier Lerat
Olivier Lerat
IFP 1-4, avenue de Bois-Préau 92500 Rueil-Malmaison France
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Brigitte Doligez
Brigitte Doligez
IFP 1-4, avenue de Bois-Préau 92500 Rueil-Malmaison France
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Emily Albouy
Emily Albouy
IFP 1-4, avenue de Bois-Préau 92500 Rueil-Malmaison France
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Philippe Nivlet
Philippe Nivlet
IFP 1-4, avenue de Bois-Préau 92500 Rueil-Malmaison France
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Frédéric Roggero
Frédéric Roggero
IFP 1-4, avenue de Bois-Préau 92500 Rueil-Malmaison France
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Julien Cap
Julien Cap
IFP 1-4, avenue de Bois-Préau 92500 Rueil-Malmaison France
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Jacques Vittori
Jacques Vittori
Total – Exploration & Production 26, avenue Larribau 64018 Pau cedex France
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Olivier Duplantier
Olivier Duplantier
Total – Exploration & Production 26, avenue Larribau 64018 Pau cedex France
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Philippe Berthet
Philippe Berthet
Total – Exploration & Production 26, avenue Larribau 64018 Pau cedex France
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Published:
December 01, 2006

Abstract

A methodology has been developed which is devoted to the integration of seismic information within the geological stochastic modeling workflow. Its aim is to optimize the characterization of fine-scale internal heterogeneities of the reservoirs. This workflow consists of three steps:

  • Lithoseismic interpretation and definition of a 3D seismic constraint,

  • Reconciliation of seismic data with the geological model,

  • Geostatistical geological modeling using a 3D seismic constraint

The result of the first step is a 3D volume of geological facies proportions at the seismic scale. It is described in detail in a separate companion paper.

The second step aims to improve the quantitative match of 3D seismic attributes computed directly from the detailed geological model. This implies first ensuring optimal coherency between well and seismic data. Secondly, distributions of acoustic parameters are determined for each geological facies using well log data. This information is used to obtain 3D synthetic cubes of seismic attributes, which are compared to real data. Finally, the 3D facies proportions are updated to minimize an objective function defined by the mismatch between real and synthetic seismic attributes.

In the third step, the non-stationary truncated Gaussian method is used to fill a fine grid geological model integrating a high resolution 3D seismic constraint and well information. The seismic constraint defines the main spatial trends of facies proportions, and the wells locally constrain facies in the model. This modeling process captures the geometry of complex geological objects and to reproduce the distributions of heterogeneities.

This methodology has been successfully applied to the Girassol Field. Comparisons between predicted and real impedance cubes clearly show the capability of the geological model to reproduce high-resolution seismic information. Some results of the geostatistical modeling are presented in this paper, as well as quality control tests and sensitivity analysis to critical parameters.

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Contents

GCSSEPM

Reservoir Characterization: Integrating Technology and Business Practices

Roger M. Slatt
Roger M. Slatt
Houston, Texas
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Norman c. Rosen
Norman c. Rosen
Houston, Texas
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Michael Bowman
Michael Bowman
Houston, Texas
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John Castagna
John Castagna
Houston, Texas
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Timothy Good
Timothy Good
Houston, Texas
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Robert Loucks
Robert Loucks
Houston, Texas
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Rebecca Latimer
Rebecca Latimer
Houston, Texas
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Mark Scheihing
Mark Scheihing
Houston, Texas
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Hu Smith
Hu Smith
Houston, Texas
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SEPM Society for Sedimentary Geology
Volume
26
ISBN electronic:
978-0-9836096-4-3
Publication date:
December 01, 2006

GeoRef

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