TY - JOUR
T1 - Multi-scale Image-Based Pore Space Characterisation and Pore Network Generation
T2 - Case Study of a North Sea Sandstone Reservoir
AU - Scott, Gilbert
AU - Wu, Kejian
AU - Zhou, Yingfang
N1 - The authors would like to thank Anasuria Operating Company Ltd (AOC) for making available the rock samples for analysis.
SEM imaging was performed at the University of Aberdeen Centre for Electron Microscopy, Analysis and Characterisation (ACEMAC). We would like to thank John Still for invaluable assistance in the SEM imaging work.
The authors acknowledge the very helpful comments from three anonymous reviewers
PY - 2019/9/30
Y1 - 2019/9/30
N2 - In this paper we examine the pore space geometry and topology of a North Sea sandstone reservoir rock based on multi-scale scanning electron microscopy (SEM). The reservoir was subjected to extensive diagenesis which has resulted in a complex pore space with a wide range in pore sizes. We quantify the pore size and pore coordination number distributions and we find that the mean and standard deviation of the coordination number are power law functions of pore radius, where the scaling exponent varies from 0.3 to 0.5. We present a 2D stochastic algorithm to generate a pore network based on statistical information. The algorithm incorporates the concept of a weighted planar stochastic lattice which is a construction that naturally leads to scale-free character with power law behaviour. We validate the algorithm against SEM imaging by showing that it can reproduce the observed clustering and a realistic spatial distribution of pore space elements. We also try to explore the relationship between fluid flow properties of reservoir rock and 2D pore image features.
AB - In this paper we examine the pore space geometry and topology of a North Sea sandstone reservoir rock based on multi-scale scanning electron microscopy (SEM). The reservoir was subjected to extensive diagenesis which has resulted in a complex pore space with a wide range in pore sizes. We quantify the pore size and pore coordination number distributions and we find that the mean and standard deviation of the coordination number are power law functions of pore radius, where the scaling exponent varies from 0.3 to 0.5. We present a 2D stochastic algorithm to generate a pore network based on statistical information. The algorithm incorporates the concept of a weighted planar stochastic lattice which is a construction that naturally leads to scale-free character with power law behaviour. We validate the algorithm against SEM imaging by showing that it can reproduce the observed clustering and a realistic spatial distribution of pore space elements. We also try to explore the relationship between fluid flow properties of reservoir rock and 2D pore image features.
KW - porous media
KW - pore network
KW - SEM imaging
KW - multi-scale
UR - http://link.springer.com/10.1007/s11242-019-01309-8
UR - http://www.mendeley.com/research/multiscale-imagebased-pore-space-characterisation-pore-network-generation-case-study-north-sea-sands
UR - http://www.scopus.com/inward/record.url?scp=85070688321&partnerID=8YFLogxK
U2 - 10.1007/s11242-019-01309-8
DO - 10.1007/s11242-019-01309-8
M3 - Article
VL - 129
SP - 855
EP - 884
JO - Transport in Porous Media
JF - Transport in Porous Media
SN - 0169-3913
IS - 3
ER -
