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AAPG Bulletin

Abstract

DOI:10.1306/04211009123

Sandstone diagenesis and reservoir quality prediction: Models, myths, and reality

Thomas R. Taylor,1 Melvyn R. Giles,2 Lori A. Hathon,3 Timothy N. Diggs,4 Neil R. Braunsdorf,5 Gino V. Birbiglia,6 Mark G. Kittridge,7 Calum I. Macaulay,8 Irene S. Espejo9

1Shell International Exploration and Production, Projects and Technology, 3737 Bellaire Boulevard, Houston, Texas 77025; [email protected]
2Shell International Exploration and Production, 200 North Dairy Ashford, Houston, Texas 77079-1197; [email protected]
3Shell International Exploration and Production, Projects and Technology, 3737 Bellaire Boulevard, Houston, Texas 77025; [email protected]
4Shell International Exploration and Production, 200 North Dairy Ashford, Houston, Texas 77079-1197; [email protected]
5Shell International Exploration and Production, Projects and Technology, 3737 Bellaire Boulevard, Houston, Texas 77025; [email protected]
6Sarawak Shell Berhad, Locked Bag No.1, Miri, Sarawak, Malaysia 98000; [email protected]
7Shell International Exploration and Production, 200 North Dairy Ashford, Houston, Texas 77079-1197; [email protected]
8Shell International Exploration and Production, Projects and Technology, 3737 Bellaire Boulevard, Houston, Texas 77025; [email protected]
9Shell International Exploration and Production, 200 North Dairy Ashford, Houston, Texas 77079-1197; [email protected]

ABSTRACT

Models and concepts of sandstone diagenesis developed over the past two decades are currently employed with variable success to predict reservoir quality in hydrocarbon exploration. Not all of these are equally supported by quantitative data, observations, and rigorous hypothesis testing. Simple plots of sandstone Previous HitporosityNext Hit Previous HitversusNext Hit extrinsic parameters such as current subsurface Previous HitdepthNext Hit or temperature are commonly extrapolated but rarely yield accurate predictions for lithified sandstones. Calibrated numerical models that simulate compaction and quartz cementation, when linked to basin models, have proven successful in predicting sandstone Previous HitporosityNext Hit and permeability where sufficient analog information regarding sandstone texture, composition, and quartz surface area is available.

Analysis of global, regional, and local data sets indicates the following regarding contemporary diagenetic models used to predict reservoir quality. (1) The effectiveness of grain coatings on quartz grains (e.g., chlorite, microquartz) as an inhibitor of quartz cementation is supported by abundant empirical data and recent experimental results. (2) Vertical effective stress, although a fundamental factor in compaction, cannot be used alone as an accurate predictor of Previous HitporosityNext Hit for lithified sandstones. (3) Secondary Previous HitporosityNext Hit related to dissolution of framework grains and/or cements is most commonly volumetrically minor (lt2%). Exceptions are rare and not easily predicted with current models. (4) The hypothesis and widely held belief that hydrocarbon pore fluids suppress Previous HitporosityTop loss due to quartz cementation is not supported by detailed data and does not represent a viable predictive model. (5) Heat-flow perturbations associated with allochthonous salt bodies can result in suppressed thermal exposure, thereby slowing the rate of quartz cementation in some subsalt sands.

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