Characterization of the pore structure of reservoir rocks with the aid of serial sectioning analysis, mercury porosimetry and network simulation

Citation
Cd. Tsakiroglou et Ac. Payatakes, Characterization of the pore structure of reservoir rocks with the aid of serial sectioning analysis, mercury porosimetry and network simulation, ADV WATER R, 23(7), 2000, pp. 773-789
Citations number
60
Categorie Soggetti
Civil Engineering
Journal title
ADVANCES IN WATER RESOURCES
ISSN journal
03091708 → ACNP
Volume
23
Issue
7
Year of publication
2000
Pages
773 - 789
Database
ISI
SICI code
0309-1708(200006)23:7<773:COTPSO>2.0.ZU;2-Q
Abstract
Processes of fluid transport through underground reservoirs are closely rel ated with microscopic properties of the pore structure. In the present work , a relatively simple method is developed for the determination of the topo logical and geometrical parameters of the pore space of sedimentary rocks, in terms of chamber-and-throat networks. Several parameters, such as the ch amber-diameter distribution and the mean specific genus of the pore network are obtained from the serial sectioning analysis of double porecasts. This information is used in the computer-aided construction of a chamber-and-th roat network which is to be used for further analysis. Mercury porosimetry curves are fitted to either 3-parameter or 5-parameter non-linear analytic functions which are identified by the median pressures, mean slopes and bre akthrough pressures. A simulator of mercury intrusion/retraction, incorpora ting the results of serial tomography, in conjuction with the experimental mercury porosimetry curves of the porous solid are used iteratively to esti mate the throat-diameter distribution, spatial correlation coefficients of pore sizes and parameters characterizing the pore-wall roughness. Estimatio n of the parameter values is performed by fitting the simulated mercury por osimetry curves to the experimental ones in terms of the macroscopic parame ters of the analytic functions. The validity of the pore space characteriza tion is evaluated through the correct prediction of the absolute permeabili ty. The method is demonstrated with its application to an outcrop Grey-Vosg ues sandstone. (C) 2000 Elsevier Science Ltd. All rights reserved.