Отправлено: 16.08.18 11:06. Заголовок: Авторы из Азербайджана не поленились оценить модель Мурцовкина

Капиллярно-решеточная модель для двух образцов по оценкам дала для проницаемости худшие результаты чем модель Percella

Sample № 1
Exp. perm, mD Purcell's perm, mD, Capill-Network
161.68729 167.60541 191.62053

Sample № 2
25.21 16.9 32

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Please cite this article as: Shahsenov, I.S., Orujov, G.I., Modeling of the cementation factor and
hydraulic permeability using Mercury Injection Capillary Pressure (MICP) measurements, Journal of
Petroleum Science and Engineering (2018), doi: 10.1016/j.petrol.2018.08.025.

Abstract
Electrical models of the porous medium are widely used for the estimation of the volume fraction of fluids
filling in the pore space. One of the input parameters into this type of models is the geometrical factor
associated with the complexity of the pore network system also known as “cementation factor” used in
Archie’s saturation model. While this parameter can be measured in the laboratory, the aim of this work is to
infer it from the pore size distribution (PSD), which in itself does not bear any information about the
geometry of the 3D pore network. The proposed probabilistic model assumes a predefined geometry of the
elementary cell, and uses PSD obtained from the Mercury Injection Capillary Pressure (MICP) measurements
and porosity to predict the cementation factor. The model achieved a good agreement with an average value
of the cementation factor measured on the numerous core samples obtained from the two fields investigated in
this study. Geometrical considerations were also investigated through introduction of tortuosity and shape of
the capillaries in the model to allow for the potential lithological variations of the reservoir rocks. Similar
approach was used to estimate hydraulic permeability using the probabilistic model, and the results were
tested against air permeability values measured in the laboratory.
Keywords: Cementation factor, Pore size distribution, Mercury Injection Capillary Pressure (MICP),
Probabilistic model