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Advances in Sandstone Reservoir Quality Prediction

AAPG Bulletin Special Issue on CD; Volume 94, Number 8, August 2010
Additional Information:
To guess is cheap; to guess wrongly is expensive (Chinese proverb).

Reservoir-quality predictive models will be a useful element of risk analysis until remote-sensing tools are invented that accurately measure effective porosity and permeability ahead of the bit. This issue of the AAPG Bulletin highlights recent advances in a new generation of reservoir quality models that successfully predict porosity and permeability in diverse siliciclastic reservoirs under different burial conditions.

The new reservoir quality models differ from previous approaches in that, although incorporating theory-inspired algorithms, they include terms with values that are explicitly designed to be calibrated by, and tested against, data sets of high-quality petrographic analyses that are linked to thermal and effective-stress histories.

Petrographic observations therefore provide essential constraints in these models on the types, timing, and rates of key geologic processes affecting sandstone pore systems. This approach avoids the pitfalls inherent in predictions based on statistical correlations devoid of process interpretation (e.g. porosity-versus-depth trends) or on first-principle geochemical models that rely exclusively on laboratory-derived data to constrain the nature and rates of geochemical reactions.

edited from the Foreword

Table of Contents
1266
Various
AAPG
August 06, 2010
978-1-58861-354-7
CD
Digital, AAPG Bulletin ,  On CD/DVD
$24.00
$24.00

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