SPE Reservoir Evaluation & Engineering
Volume 12,
Number 2,
April 2009,
pp. 297-310
Summary
To predict the effects of stress on rock permeability, the authors propose
an integrated approach based on an extended rock characterization, an
experimental investigation of pressure dependency of directional rock
permeabilities and finally a pore-scale simulation of this dependency using
equivalent pore network extracted from microtomography analysis. This study has
been conducted on two analog reservoir rock types: the high-permeability
Bentheimer Sandstone and a dual-porosity bioclastic carbonate, the Estaillades
Limestone, having an intermediate permeability. Compression tests have been
conducted using a new triaxial cell specially designed to measure directional
permeabilities along and transverse to direction of maximum stress application.
We measured the pressure dependency of porosity, directional permeabilities,
compressibilities, and elastic moduli of the tested samples. We also performed
computed microtomography (CMT) imaging of the rock samples, from which we
extracted the poral skeletons and the associated characteristics lengths. Then,
we calculated the macroscopic transport properties using Pore Network Modeling
(PNM) based on the real pore geometry. We included a model of pressure
dependence of pore and throat sizes based on pressurized cavity models derived
from elasticity theory to simulate the evolution of porosity and permeability
with pressure. First, we show that the experimental determination of the
evolution of directional permeabilities under hydrostatic and deviatoric
loading is feasible. Finally, we show that the PNM coupled with µ tomography
can be a promising tool to forecast the evolution of transport properties under
stresses representative of reservoir conditions, at the condition of
integrating more advanced pore-scale compaction models.
© 2009. Society of Petroleum Engineers
View full textPDF
(
3,365 KB
)
History
- Original manuscript received:
2 August 2007
- Meeting paper published:
11 November 2007
- Revised manuscript received:
19 June 2008
- Manuscript approved:
1 September 2008
- Published online:
15 April 2009
- Version of record:
15 April 2009