Presently available techniques for predicting quantitative reservoir qualit
y typically are Limited in applicability to specific geographic areas or li
thostratigraphic units, or require input data that are poorly constrained o
r difficult to obtain. We have developed a forward numerical model (Exempla
r) of compaction and quartz cementation to provide a general method suited
for porosity prediction of quartzose and ductile grain-rich sandstones in m
ature and frontier basins. The model provides accurate predictions for many
quartz-rich sandstones using generally available geologic data as input. M
odel predictions can be directly compared to routinely available data, and
can be used in risk analysis through incorporating parameter optimization a
nd Monte Carlo techniques.
The diagenetic history is modeled from the time of deposition to present. C
ompaction is modeled by an exponential decrease in intergranular volume as
a function of effective stress. The model is consistent with compaction ari
sing from grain rearrangement, ductile grain deformation, and brittle failu
re of grains, and accounts for the effects of fluid overpressures and stabl
e grain packing configurations. Quartz cementation is modeled as a precipit
ation-rate-controlled process according to the method of Walderhaug (1994,
1996) and Walderhaug et al. (in press).
Input data required for a simulation include effective stress and temperatu
re histories, together with the composition and texture of the modeled sand
stone upon deposition. Burial history data can be obtained from basin model
s, whereas sandstone composition and texture are derived from point-count a
nalysis of analog thin sections. Exemplar predictions are consistent with m
easured porosity, intergranular volume, and quartz cement fractions for mod
eled examples from the Quaternary and Tertiary of the Gulf of Mexico Basin,
the Jurassic of the Norwegian shelf, the Ordovician of the Illinois basin,
and the Cambrian of the Baltic region.